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APPLIED PSYCHOLOGY: AN INTERNATIONAL REVIEW, 1999, 48(1), 49–71Requests for reprints should be sent to Dr. Maria Ros, Dept. Psicología Social, F. de C.C.Pol. Y Sociología, Campus de Somosaguas, Universidad Complutense de Madrid, 28223Madrid, Spain.The work of the second author was supported by grant 94–00063 from the United States–Israel Binational Science Foundation (BSF), Jerusalem, Israel, by grant No. 187/92 from the Basic Research Foundation (Israel Academy of Sciences and Humanities), and by the Leon and Clara Sznajderman Chair of Psychology.q 1999 International Association of Applied PsychologyBasic Individual Values, Work Values, and theMeaning of WorkMaria RosUniversidad Complutense de Madrid, SpainShalom H. Schwartz and Shoshana SurkissThe Hebrew University of Jerusalem, IsraelOn présente ici une théorie des valeurs individuelles de base qui est appliquée au monde de l’enseignement. Les objectifs ou les valeurs du travail seraient des expressions de valeurs de base dans la situation de travail. Les valeurs de base recouvrent quatre types de valeurs professionnelles: intrinsèques,extrinsèques, sociales, et de prestige. Ces quatre catégories proviennent du réexamen de recherches antérieures et d’une première étude portant sur un échantillon représentatif israélien (N 999). Les intercorrélations trouvées entre ces quatre types vont dans le sens des hypothèses concernant la structure des valeurs professionnelles. La deuxième étude explore la signi cation du travail en tant que locomotion vers un but. Des enseignants espagnols (N 193) et des élèves-professeurs (N 179) ont évalué l’importance du travail et d’une série détaillée de valeurs de base comme principes directeurs. Pour les enseignants, le travail permet apparemment d’obtenir la stabilité sociale et des relations sociales étroites. Pour les étudiants, le travail est lié à ces objectifs,mais aussi à la promotion personnelle, à ’autonomie et à la recherche de sensations. Nous insistons, dans la conclusion, sur l’utilité de l’application de la théorie des valeurs de base à d’autres investigations portant sur le travail.A theory of basic individual values is presented and applied in studying work.Work goals or values are seen as expressions of basic values in the work setting.Basic values imply four types of work values—intrinsic, extrinsic, social, and prestige. These four types emerge in re-examinations of past research and in Study 1 of a representative Israeli sample (N 999). Intercorrelations among50ROS, SCHWARTZ, SURKISS1The current article uses a theory of 10 types of basic individual values to explain individual differences in work values. Schwartz (this issue) presents a theory of seven types of values appropriate for comparing cultures but not individuals. For discussions of the differences between the individual and cultural levels of value theory and analysis, see Schwartz (this issue)and Smith and Schwartz (1997).these value types support theorising about the structure of work values. Study 2 explores the meaning of work as a vehicle for goal attainment. Spanish teachers (N 193) and education students (N 179) rated the importance of work and of a comprehensive set of basic values as guiding principles. For the teachers, work apparently serves to attain social stability and close social relations. For the students, work is associated with these goals and with promoting personal interests, independence, and excitement. In conclusion,we identify advantages of applying the theory of basic values to further studies of work.INTRODUCTIONA major goal of research on values has been to explore the ways in which individuals’ value priorities relate to their attitudes, behaviour, and social experiences and roles. One branch of this research has focused primarily on work (e.g. Elizur, 1984; Hofstede, 1980, 1991; Super, 1980). No attempt has been made, however, to clarify how work values and other aspects of work relate to basic individual values. For this purpose, we adopt a recent theory of the structure and content of the basic values distinguished by individuals (Schwartz, 1992, 1994). This theory has been used to predict and explain how whole value systems relate to various attitudes and behaviours (e.g.cooperation–competition, voting, contact with outgroups, religiosity; Ros,1994; Ros, Grad, & Martinez, 1996; Schwartz & Sagiv, 1995; Schwartz, 1996;Schwartz & Huismans, 1995). This is the rst attempt to integrate this general theory of the basic values of individuals with research on work.1As background for the studies to be reported, the current article brie y presents the theory of basic individual values and notes some results of validation studies. Then, in Study 1, we employ this theory as an approach for clarifying the nature of work values, specifying the types of work values people are likely to distinguish, and postulating the structure of relationships expected among these work values. We also use the theory to organise some of the prominent theorising about work values found in the literature.Finally, we report an empirical study of a national sample in Israel that tested hypotheses regarding the relations of basic values to work values.In Study 2, we employ the theory of basic values to explore the signi cance of work as a vehicle for reaching cherished goals. That is, we seek to infer the types of goals that people believe their work may enable them to attain. We do this by investigating the associations of work, treated as a value, with the different basic human values. We examine this question in two Spanish samples, secondary school teachers and education students.BASIC VALUES AND WORK VALUES51 Both samples focus on the same type of work—teaching. One sample had direct experience with teaching while the other did not. By comparing the associations of work with basic values in the two samples, we sought to deduce the effects of occupational experience as a teacher on the meaning of work. This study exempli es the use of basic values to uncover group differences in, and in uences of experience on, the meaning of work.A THEORY OF BASIC INDIVIDUAL VALUESThe theory of basic human values has two core components (see Schwartz, 1992, 1994, for a fuller elaboration). First, it speci es 10 motivationally distinct types of values that are postulated to be recognised by members of most societies and to encompass the different types of values that guide them. Second, the theory speci es how these 10 types of values relate dynamically to one another. That is, it speci es which values are compatible and mutually supportive, and which are opposed and likely to con ict with one another. The theory de nes values as desirable, trans-situational goals that vary in importance as guiding principles in people’s lives (cf. Kluckhohn, 1951; Rokeach, 1973). The crucial content aspect that distinguishes among values is the type of motivational goals they express. A typology of the different contents of values was derived using the following reasoning: in order to cope with the challenges inherent in human existence, groups and individuals translate the needs and demands they experience into concepts about which they can communicate, expressing them in the language of values. Values represent, in the form of conscious goals, responses to three universal requirements with which all individuals and societies must cope: needs of individuals as biological organisms, requisites of coordinated social interaction, and requirements for the smooth functioning and survival of groups.Ten motivationally distinct types of values were derived from these three universal requirements (Schwartz, 1992). Table 1 lists these value types, de ning each in terms of its central goal and noting, in parentheses, speci c single values that primarily represent it.The key to identifying the structure of value relations is the assumption that actions taken in the pursuit of each type of values have psychological, practical, and social consequences that may con ict or may be compatible with the pursuit of other value types. Analyses of the con icts and compatibilities likely to arise when people pursue these types of values simultaneously suggest a potentially universal set of relations among values. For example, the pursuit of achievement values often con icts with the pursuit of benevolence values; seeking personal success for oneself is likely to obstruct actions aimed at enhancing the welfare of close others who need one’s help. In like manner, the pursuit of tradition values con icts with the52ROS, SCHWARTZ, SURKISSTABLE 1De nitionsPOWER: Social status and prestige, control or dominance over people and resources (Social Power, Authority, Wealth).ACHIEVEMENT: Personal success through demonstrating competence according to social standards (Successful, Capable, Ambitious, In uential).HEDONISM: Pleasure and sensuous grati cation for oneself (Pleasure, Enjoying Life). STIMULATION: Excitement, novelty and challenge in life (Daring, a Varied Life, an Exciting life).SELF-DIRECTION: Independent thought and action-choosing, creating, exploring (Creativity, Freedom, Independent, Curious, Choosing own Goals). UNIVERSALISM: Understanding, appreciation, tolerance and protection for the welfare of all people and for nature (Broadminded, Wisdom, Social Justice, Equalty, A World at Peace, a World of Beauty, Unity with Nature, Protecting the Environment). BENEVOLENCE: Preservation and enhancement of the welfare of people with whom one is in frequent personal contact (Helpful, Honest, Forgiving, Loyal, Responsible). TRADITION: Respect, commitment and acceptance of the customs and ideas that traditional culture or religion provides (Humble, Accepting my Portion in Life, Devout, Respect for Tradition, Moderate).CONFORMITY: Restraint of actions, inclinations and impulses likely to upset or harm others and violate social expectations or norms (Politeness, Obedient, Self-discipline, Honouring Parents and Elders).SECURITY: Safety, harmony and stability of society, of relationships, and of self (Family Security, National Security, Social Order, Clean, Reciprocation of Favours).De nitions of motivational types of values in terms of their goals and the single values that represent them.pursuit of stimulation values; accepting cultural and religious customs and ideas handed down from the past is likely to inhibit seeking novelty, challenge, and excitement. On the other hand, the pursuit of benevolence and of conformity values is compatible; both entail behaving in a manner approved by one’s close group. And the pursuit of security and power is also compatible; both stress avoiding uncertainty by controlling relationships and resources.The total pattern of relations of con ict and compatibility among value priorities that is postulated to structure value systems is represented in Fig. 1. Competing value types emanate in opposing directions from the centre; compatible types are in close proximity going around the circle. The location of tradition outside of conformity implies that these two value types share a single motivational goal—subordination on self in favour of socially imposed expectations.As shown in Fig. 1, the total value structure is organised into two sets of opposing higher-order value types, arrayed on two bipolar dimensions. These higher-order types will be used to link basic values to work values. The rst dimension—openness to change versus conservation—opposesBASIC VALUES AND WORK VALUES53FIG. 1.The structure of relations among the value types according to the theory. values that emphasise own independent thought and action and favour change (self-direction and stimulation) to values that emphasise submissive self-restriction, preservation of traditional practices, and protection of stability (security, conformity, and tradition). The second dimension—self-transcendence versus self-enhancement—opposes values that emphasise acceptance of others as equals and concern for their welfare (universalism and benevolence) to values that emphasise the pursuit of one’s relative success and dominance over others (power and achievement). Hedonism includes elements of both openness to change and self-enhancement.Analyses of responses to a questionnaire developed to measure the 10 value types, in 155 samples from 55 countries, provide substantial support54ROS, SCHWARTZ, SURKISSfor the postulates of the values theory (Schwartz, 1994; Schwartz & Sagiv, 1995; plus unpublished data). Results of separate analyses of the match between the observed and theorised content and structure of values in each sample suggest that all 10 of the postulated value types are indeed discriminated in the vast majority of cultures. Moreover, the value types are usually related to one another in the pattern of oppositions and compatibilities described in Fig. 1. In addition, the four higher-order value types, arrayed on two bipolar dimensions, organise values in virtually all societies studied. That is, values that emphasise self-enhancement oppose those that emphasise self-transcendence, and values that emphasise open-ness to change oppose those that emphasise preservation of the status quo. The analyses also permitted an assessment of the conceptual meaning of each single value in each sample. The results suggest that 45 of the values have cross-culturally consistent meanings. These values can be used to form indexes of the importance of each of the 10 value types for individuals, for use in group comparisons. This addresses the common problem of comparing values whose meanings are not the same across groups, a problem not tackled directly by other values research.STUDY 1 BASIC INDIVIDUAL VALUES AND WORKVALUESFrom the viewpoint of the theory of basic human values, work goals or values are speci c expressions of general values in the work setting. This study employs the theory of basic individual values to generate and test hypotheses regarding the different types of work values that people are likely to distinguish, and regarding the structure of relationships among these work values. We also directly relate basic values and work values. Like basic values, work values are beliefs pertaining to desirable end-states (e.g. high pay) or behaviour (e.g. working with people). The different work goals are ordered by their importance as guiding principles for evaluating work outcomes and settings, and for choosing among different work alternatives. Because work values refer only to goals in the work setting, they are more speci c than basic individual values. But the work values usually studied are still quite broad; they refer to what a person wants out of work in general, rather than to the narrowly de ned outcomes of particular jobs. Finally, work values, like basic values, are verbal representations of individual, group, and interaction requirements.Work value researchers have assumed that a limited number of broad orientations towards work underlie people’s ideas of what is important to them when making occupational choices. Researchers have therefore sought to identify a set of general types of work values. Viewing work values as speci c expressions of basic values in the work setting implies that thereBASIC VALUES AND WORK VALUES 552Elizur, Borg, Hunt, and Beck (1991) also distinguish work values on a second facet—as resources that workers obtain merely by being located in the system (e.g. work conditions) or as rewards that are contingent on workers’ performance (e.g. job status). This facet does not relate to the motivational aspect of values of concern here.should be four general types of work values, each parallel to one of the four higher-order basic types of individual values. Moreover, these four types of work values should form two dimensions that parallel the self-enhancement versus self-transcendence and the openness to change versus conservation dimensions of basic individual values.Despite a plethora of different labels, most work researchers appear to identify the same two or three types of work values: (1) intrinsic or self-actualisation values, (2) extrinsic or security or material values, (3)social or relational values (e.g. Alderfer, 1972; Borg, 1990; Crites, 1961;Mottaz, 1985; Pryor, 1987; Rosenberg, 1957). Elizur (1984) arrived at a related trichotomous classi cation of work values by considering the modality of their outcomes: instrumental outcomes such as work conditions and bene ts; cognitive outcomes such as interest and achievement; affective outcomes such as relations with associates. This classi cation largely overlaps extrinsic, intrinsic, and social, respectively.2These three types of work values can be viewed as conceptually parallel to three of the higher-order basic human values: intrinsic work values directly express openness to change values—the pursuit of autonomy, interest,growth, and creativity in work. Extrinsic work values express conservation values; job security and income provide workers with the requirements needed for general security and maintenance of order in their lives. Social or interpersonal work values express the pursuit of self-transcendence values;work is seen as a vehicle for positive social relations and contribution to society.The theory of basic individual values suggests that there should be a fourth distinctive type of work values, one that parallels the basic self-enhancement higher-order value type. This type of work values, like self-enhancement, should be concerned with prestige or power. Items that refer to prestige, authority, in uence, power, and achievement in work are common in empirical research on work. These values have usually been classi ed as extrinsic (Ginzberg, Ginsburg, Axelrod, & Herma, 1951;Herzberg, Mausner, & Snyderman, 1959; Rosenberg, 1957) or intrinsic (Borg, 1990; Crites, 1961; Elizur, 1984). Few theorists have recognised a distinctive prestige or power type (O’Connor & Kinnane, 1961; Pryor, 1987).Re-examination of many past studies reveals that there is empirical evidence for a fourth, prestige type even in data that the researchers interpreted as revealing three types. To illustrate the results of our re-examination, we consider data from Elizur (1984). Elizur (1984) asked a56ROS, SCHWARTZ, SURKISSrepresentative Israeli sample how important each of 21 work outcomes (values) is to them. He analysed the intercorrelations among these items with the same multidimensional technique used to validate the theory of basic individual values. Elizur partitioned the empirical space formed by the 21 work values into three regions that matched his conceptual distinctions between instrumental, effective, and cognitive outcomes of work. Several anomalies in Elizur’s results can be resolved by distinguishing a fourth, prestige value type. Speci cally, the region of values that Elizur labelled cognitive outcomes can be divided into intrinsic and prestige regions that make better sense of the data. The work values in the intrinsic region (meaningfulness, responsibility, use of one’s abilities) are values that contribute to a sense of personal growth and whose attainment derives directly from the nature of the work experience. The work values in the prestige region (achievement, advancement, status, recognition, independence, company that you are proud to work for, in uence in work, in uence in the organisation) are values whose attainment entails a comparison of self with others that implies personal superiority.In a cross-cultural study, Elizur et al. (1991) partitioned a different set of work values into three regions following Elizur’s instrumental, affective, and cognitive distinctions. Examination of the results in the samples from each of the eight countries (USA, Taiwan, China, Korea, Hungary, the Netherlands, Israel) revealed that the region designated as cognitive by the authors could be split into two separate regions of intrinsic and of prestige values in every single sample. Among the distinctive intrinsic work values were interesting work, meaningful work, opportunity for growth, and use of ability and knowledge. Among the prestige values were company that you are proud to work for, advancement, in uence in the organisation, and in uence in work. In this case, the implications of the theory of basic values regarding the number and content of work values that should be found pointed to a clear distinction in the data that had been overlooked. The assumption that a separate type of work values should parallel each higher-order type of basic values enabled us to identify distinctive sets of intrinsic (parallel to openness to change) and prestige (parallel to self-enhancement) work values. The distinction between these two types of work values is probably of substantial practical importance. Their associations with other variables are most likely very different, as is the case for the higher-order basic value types on which they are based (Schwartz, 1994, 1996).Evidence from some factor analytic studies also suggests that there are four types of work values, with one including largely prestige items (Pryor, 1980; Robey, 1974). In sum, secondary analyses of data from earlier research support the existence of four types of work values that correspond to the four higher-order types of basic values. The current study directly examined associations between work values and basic individual values.BASIC VALUES AND WORK VALUES 573In principle, responses lie on a bipolar scale from values that respondents rate most important to revere and pursue to those most important to condemn and avoid. Testing in multiple cultures revealed that respondents view most values as worthy of pursuit and very few as worthy of avoidance. The current scale provides more positive and fewer negative discriminations, thereby eliciting a distribution of responses that optimally captures the actual distribution of respondents’ value assessments.MethodSamples and ProceduresA representative national sample of the adult, urban Jewish population in Israel (N 999) completed a questionnaire as part of a survey conducted in 1992. Respondents rst completed the measure of basic values and then answered a work values questionnaire. Background and opinion data were also gathered.AnalysesHypotheses regarding the content and structure of values were tested with smallest space analysis (SSA; Guttman, 1968), a nonmetric multidimensional scaling technique used widely in the literature on work values (e.g. Elizur et al., 1991) and basic values (Schwartz, 1992, 1994). SSA represents items (here, single values) as points in a multidimensional space such that the distances between the points re ect the intercorrelations among the items. To test whether the hypothesised distinctive types of values were discriminated, we examined whether the items intended to measure each value type formed separate regions in the space. To test the structure of relations among the value types—their con icts and compatibilities—we examined whether the regions were located in the space relative to one another in a way that ts the hypothesised structure of relations.InstrumentsBasic Value Survey An abbreviated version of the Schwartz Value Survey that included 37 single values, chosen to cover the comprehensive set of ten value types (Schwartz, 1992), was used. Respondents rated the importance of each value as a guiding principle in their life on a 9-point scale from “opposed to my values” (1), “not important” (0), to “important” (3),to “of supreme importance” (7).3The values were presented in three sets of 12, 12, and 13, listed on cards. Before rating each set, respondents chose the most and least important value in the set, in order to anchor their use of the response scale.To index the importance of each basic value type for each individual, the ratings given to the single values that represent the value type were summed58ROS, SCHWARTZ, SURKISS4Item 6 emerged with the prestige values in all occupational groups but professionals. This suggests that being your own boss meant being free of others’ control and having control over resources. For professionals, it emerged with the intrinsic values, apparently signifying freedom to pursue independent goals. Item 10 emerged with different value types in different occupational groups, suggesting considerable variation in the meaning of advancement: greater independence (intrinsic) for professionals; greater independence and power over others (intrinsic and prestige) for managers; greater income and security (extrinsic) for skilled blue collar workers.and divided by the number of values included. The values included in each index are listed in Table 1. They were selected on the basis of a priori theory,corrected for the results of a smallest space analysis of the intercorrelations among the values in this study.Work Value Survey Ten items, selected to represent the four types of work values we postulated, were included. These items were based on items widely used in the work values literature. Respondents rated each item on a scale from 1 (very important) to 4 (not at all important) in response to the question: How important is each of the following to you in choosing an occupation? Table 2 lists the 10 items, categorising them according to the a priori value type they were intended to represent. Both multidimensional scaling analysis (SSA) and principal components factor analysis with oblique rotation were performed on the matrix of intercorrelations among the 10items. Table 2 provides the result of the factor analysis.Both types of analysis supported the a priori assignment of work values to value types. As shown in Table 2, for example, four factors (with eigenvalues greater than 1.0) emerged, equivalent to the four postulated types of work values. In the SSA, four regions emerged, with item 10 in the centre of the space. Both types of analyses were also performed in subsamples formed of ve occupational groups (unskilled blue collar, skilled blue collar, clerical,managerial, professional). The analyses yielded similar results for all but items 6 (being your own boss) and 10 (advancement in work).4To index the importance of each of the four types of work values for each individual, the ratings given to the single values that represent the value type were summed.Items 6 and 10 were excluded because they had multiple and inconsistent loadings in the factor analyses, and central or inconsistent locations in the SSAs in the different subsamples.Results and DiscussionFirst we examined whether the structure of relations among the four types of work values took the form implied by the view of these values as expressions,in the work setting, of basic individual values. Intrinsic work values were hypothesised to oppose extrinsic work values because these types presumably express the opposing higher-order openness to change versusBASIC VALUES AND WORK VALUES59TABLE 2I II III IV Work Value Type and Item Social Extrinsic Prestige Intrinsic Social7.Contributing to people andsociety0.790.090.060.15 4.Work with people0.770.010.040.24 9.Social contact with co-workers0.670.080.120.18 Extrinsic1.Good salary and work conditions0.130.900.040.102.Job security (permanent job,pension)0.090.790.070.07 Prestige8.Authority to make decisions overpeople0.180.080.690.14 5.Prestigious, highly valued work0.150.050.630.03 Intrinsic3.Interesting and varied work0.300.170.100.80 6.Work in which you are your ownboss0.210.170.610.50 Mixed10.Opportunities for occupationaladvancement0.200.430.320.34 Percent of Variance Explained31%14%11%8%N999.conservation basic value types, respectively. Prestige work values were expected to oppose social work values because these types presumably express the opposing higher-order self-enhancement versus self-transcendence basic value types, respectively. The SSA con rmed these hypotheses. The regions representing the four types of work values were ordered in a two dimensional space in precisely this manner.Second, we directly tested the conceptual relationship between the four types of work values and the four higher-order basic individual values by correlating their indexes (see Table 3). As expected, extrinsic work values correlated positively with conservation values (0.24) and negatively with openness to change values (0.28), whereas intrinsic work values correlated negatively with conservation values (0.23) and positively with openness to change values (0.23; all P0.001). Neither of these types of work values was signi cantly related to the other bipolar dimension of basic values. Also as expected, social work values correlated positively with self-transcendence。
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DUGANSr. ConsultantElectrotek Concepts, Inc.408 N Cedar Bluff RdKnoxville, TN 37923Vox: 865-470-9222Fax: 865-470-9223r.dugan@Computer & Analytical Methods EDWIN LIU, ChairNexant, Inc.101, 2nd street, 11FSan Francisco CA 94105Vox: 415-369-1088Fax: 415-369-0894exliu@Distribution Systems Analysis SANDOVAL CARNEIRO, JR, ChairDept. of Electrical Engineering Federal Univ. of Rio de Janeiro Rio de Janeiro, RJ, BrazilVox: 55-21-25628025Fax: 55-21-25628628 sandoval@coep.ufrj.br Intelligent System Applications DAGMAR NIEBUR, Chair Department of ECEDrexel University3141 Chestnut Street Philadelphia, PA 19104Vox: (215) 895 6749Fax: (215) 895 1695niebur@ Reliability, Risk & Probability ApplicationsJAMES D. MCCALLEY, Chair Iowa State UniversityRoom 2210 Coover Hall Ames, Iowa 50011Vox: 515-294-4844Fax: 515-294-4263jdm@Systems EconomicsROSS BALDICK, ChairECE Dept. , ENS 502The University of Texas at Austin Austin, TX 78712Vox: 512-471-5879Fax: 512-471-5532baldick@Past ChairJOANN V. STARONNexant Inc/ PCA1921 S. Alma School Road Suite 207Mesa, AZ 85210Vox: 480-345-7600Fax: 480-345-7601joann.staron@Distribution System Analysis Subcommittee IEEE 13 Node TestFeederIEEE 13 Node Test Feeder652680Overhead Line Configuration Data:Underground Line Configuration Data:Line Segment Data:Transformer Data:Capacitor Data:Regulator Data:Spot Load Data:Distributed Load Data:IEEE 13 NODE TEST FEEDERImpedances Configuration 601:Z (R +jX) in ohms per mile0.3465 1.0179 0.1560 0.5017 0.1580 0.4236 0.3375 1.0478 0.1535 0.38490.3414 1.0348B in micro Siemens per mile6.2998 -1.9958 -1.25955.9597 -0.74175.6386 Configuration 602:Z (R +jX) in ohms per mile0.7526 1.1814 0.1580 0.4236 0.1560 0.5017 0.7475 1.1983 0.1535 0.38490.7436 1.2112B in micro Siemens per mile5.6990 -1.0817 -1.69055.1795 -0.65885.4246Configuration 603:Z (R +jX) in ohms per mile0.0000 0.0000 0.0000 0.0000 0.0000 0.00001.3294 1.3471 0.2066 0.45911.3238 1.3569B in micro Siemens per mile0.0000 0.0000 0.00004.7097 -0.89994.6658 Configuration 604:Z (R +jX) in ohms per mile1.3238 1.3569 0.0000 0.0000 0.2066 0.45910.0000 0.0000 0.0000 0.00001.3294 1.3471B in micro Siemens per mile4.6658 0.0000 -0.89990.0000 0.00004.7097Configuration 605:Z (R +jX) in ohms per mile0.0000 0.0000 0.0000 0.0000 0.0000 0.00000.0000 0.0000 0.0000 0.00001.3292 1.3475B in micro Siemens per mile0.0000 0.0000 0.00000.0000 0.00004.5193 Configuration 606:Z (R +jX) in ohms per mile0.7982 0.4463 0.3192 0.0328 0.2849 -0.0143 0.7891 0.4041 0.3192 0.03280.7982 0.4463B in micro Siemens per mile96.8897 0.0000 0.000096.8897 0.000096.8897Configuration 607:Z (R +jX) in ohms per mile1.3425 0.5124 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00000.0000 0.0000B in micro Siemens per mile88.9912 0.0000 0.00000.0000 0.00000.0000Power-Flow Results- R A D I A L F L O W S U M M A R Y - DATE: 6-24-2004 AT 15:33: 2 HOURS --- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- SYSTEM PHASE PHASE PHASE TOTALINPUT -------(A)-------|-------(B)-------|-------(C)-------|------------------ kW : 1251.398 | 977.332 | 1348.461 | 3577.191kVAr : 681.570 | 373.418 | 669.784 | 1724.772kVA : 1424.968 | 1046.241 | 1505.642 | 3971.289PF : .8782 | .9341 | .8956 | .9008LOAD --(A-N)----(A-B)-|--(B-N)----(B-C)-|--(C-N)----(C-A)-|---WYE-----DELTA-- kW : 785.6 385.0| 424.0 625.7| 692.5 553.4| 1902.1 1564.0TOT : 1170.563 | 1049.658 | 1245.907 | 3466.128| | |kVAr : 393.0 220.0| 313.0 358.1| 447.9 369.5| 1153.9 947.7TOT : 613.019 | 671.117 | 817.450 | 2101.586| | |kVA : 878.4 443.4| 527.0 720.9| 824.8 665.4| 2224.8 1828.7TOT : 1321.367 | 1245.865 | 1490.137 | 4053.481| | |PF : .8943 .8682| .8045 .8679| .8397 .8316| .8550 .8553TOT : .8859 | .8425 | .8361 | .8551LOSSES ------(A)-------|-------(B)-------|-------(C)-------|------------------ kW : 39.107 | -4.697 | 76.653 | 111.063kVAr : 152.585 | 42.217 | 129.850 | 324.653kVA : 157.517 | 42.478 | 150.787 | 343.124CAPAC --(A-N)----(A-B)-|--(B-N)----(B-C)-|--(C-N)----(C-A)-|---WYE-----DELTA-- R-kVA: 200.0 .0| 200.0 .0| 300.0 .0| 700.0 .0TOT : 200.000 | 200.000 | 300.000 | 700.000| | |A-kVA: 193.4 .0| 222.7 .0| 285.3 .0| 701.5 .0TOT : 193.443 | 222.747 | 285.276 | 701.466--- V O L T A G E P R O F I L E ---- DATE: 6-24-2004 AT 15:33:12 HOURS ---- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- NODE | MAG ANGLE | MAG ANGLE | MAG ANGLE |mi.to SR ------------------------------------------------------------------------------- ______|_______ A-N ______ |_______ B-N _______ |_______ C-N _______ |650 | 1.0000 at .00 | 1.0000 at -120.00 | 1.0000 at 120.00 | .000 RG60 | 1.0625 at .00 | 1.0500 at -120.00 | 1.0687 at 120.00 | .000 632 | 1.0210 at -2.49 | 1.0420 at -121.72 | 1.0174 at 117.83 | .379 633 | 1.0180 at -2.56 | 1.0401 at -121.77 | 1.0148 at 117.82 | .474 XFXFM1| .9941 at -3.23 | 1.0218 at -122.22 | .9960 at 117.35 | .474 634 | .9940 at -3.23 | 1.0218 at -122.22 | .9960 at 117.34 | .474 645 | | 1.0329 at -121.90 | 1.0155 at 117.86 | .474 646 | | 1.0311 at -121.98 | 1.0134 at 117.90 | .530 671 | .9900 at -5.30 | 1.0529 at -122.34 | .9778 at 116.02 | .758 680 | .9900 at -5.30 | 1.0529 at -122.34 | .9778 at 116.02 | .947 684 | .9881 at -5.32 | | .9758 at 115.92 | .815 611 | | | .9738 at 115.78 | .871 652 | .9825 at -5.25 | | | .966 692 | .9900 at -5.31 | 1.0529 at -122.34 | .9777 at 116.02 | .852 675 | .9835 at -5.56 | 1.0553 at -122.52 | .9758 at 116.03 | .947 p 1----------- VOLTAGE REGULATOR DATA ---- DATE: 6-24-2004 AT 15:33:16 HOURS -- SUBSTATION: IEEE 13; FEEDER: IEEE 13 _______________________________________________________________________________ [NODE]--[VREG]-----[SEG]------[NODE] MODEL OPT BNDW 650 RG60 632 632 Phase A & B & C, Wye RX 2.00 ........................................................................ PHASE LDCTR VOLT HOLD R-VOLT X-VOLT PT RATIO CT RATE TAP1 122.000 3.000 9.000 20.00 700.00 102 122.000 3.000 9.000 20.00 700.00 83 122.000 3.000 9.000 20.00 700.00 11- R A D I A L P O W E R F L O W --- DATE: 6-24-2004 AT 15:33:27 HOURS --- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- NODE VALUE PHASE A PHASE B PHASE C UNT O/L< (LINE A) (LINE B) (LINE C) 60.% ---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 650 VOLTS: 1.000 .00 1.000 -120.00 1.000 120.00 MAG/ANG kVll 4.160 NO LOAD OR CAPACITOR REPRESENTED AT SOURCE NODETO NODE RG60 <VRG>..: 593.30 -28.58 435.61 -140.91 626.92 93.59 AMP/DG < <RG60 > LOSS= .000: ( .000) ( .000) ( .000) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: RG60 VOLTS: 1.062 .00 1.050 -120.00 1.069 120.00 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE 650 <VRG>: 558.40 -28.58 414.87 -140.91 586.60 93.59 AMP/DG < <RG60 > LOSS= .000: ( .000) ( .000) ( .000) kWTO NODE 632 .......: 558.40 -28.58 414.87 -140.91 586.60 93.59 AMP/DG < <632 > LOSS= 59.716: ( 21.517) ( -3.252) ( 41.451) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 632 VOLTS: 1.021 -2.49 1.042 -121.72 1.017 117.83 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE RG60 .....: 558.41 -28.58 414.87 -140.91 586.60 93.59 AMP/DG < <632 > LOSS= 59.716: ( 21.517) ( -3.252) ( 41.451) kWTO NODE 633 .......: 81.33 -37.74 61.12 -159.09 62.70 80.48 AMP/DG <633 > LOSS= .808: ( .354) ( .148) ( .306) kWTO NODE 645 .......: 143.02 -142.66 65.21 57.83 AMP/DG < <645 > LOSS= 2.760: ( 2.540) ( .220) kWTO NODE 671 .......: 478.29 -27.03 215.12 -134.66 475.50 99.90 AMP/DG < <671 > LOSS= 35.897: ( 10.484) ( -6.169) ( 31.582) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 633 VOLTS: 1.018 -2.56 1.040 -121.77 1.015 117.82 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE 632 .....: 81.33 -37.74 61.12 -159.09 62.71 80.47 AMP/DG <633 > LOSS= .808: ( .354) ( .148) ( .306) kWTO NODE XFXFM1.......: 81.33 -37.74 61.12 -159.09 62.71 80.47 AMP/DG < <XFXFM1> LOSS= 5.427: ( 2.513) ( 1.420) ( 1.494) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: XFXFM1 VOLTS: .994 -3.23 1.022 -122.22 .996 117.35 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll .480 CAP: .00 .00 .00 kVRFROM NODE 633 .....: 704.83 -37.74 529.73 -159.09 543.45 80.47 AMP/DG < <XFXFM1> LOSS= 5.427: ( 2.513) ( 1.420) ( 1.494) kWTO NODE 634 .......: 704.83 -37.74 529.73 -159.09 543.45 80.47 AMP/DG < <634 > LOSS= .000: ( .000) ( .000) ( .000) kW- R A D I A L P O W E R F L O W --- DATE: 6-24-2004 AT 15:33:27 HOURS --- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- NODE VALUE PHASE A PHASE B PHASE C UNT O/L< (LINE A) (LINE B) (LINE C) 60.% ---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 634 VOLTS: .994 -3.23 1.022 -122.22 .996 117.34 MAG/ANG Y-LD: 160.00 110.00 120.00 90.00 120.00 90.00 kW/kVRkVll .480 Y CAP: .00 .00 .00 kVRFROM NODE XFXFM1.....: 704.83 -37.74 529.73 -159.09 543.45 80.47 AMP/DG < <634 > LOSS= .000: ( .000) ( .000) ( .000) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 645 VOLTS: 1.033 -121.90 1.015 117.86 MAG/ANG Y-LD: 170.00 125.00 .00 .00 kW/kVRkVll 4.160 Y CAP: .00 .00 kVRFROM NODE 632 .....: 143.02 -142.66 65.21 57.83 AMP/DG < <645 > LOSS= 2.760: ( 2.540) ( .220) kWTO NODE 646 .......: 65.21 -122.17 65.21 57.83 AMP/DG <646 > LOSS= .541: ( .271) ( .270) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 646 VOLTS: 1.031 -121.98 1.013 117.90 MAG/ANG D-LD: 240.66 138.12 .00 .00 kW/kVRkVll 4.160 Y CAP: .00 .00 kVRFROM NODE 645 .....: 65.21 -122.18 65.21 57.82 AMP/DG <646 > LOSS= .541: ( .271) ( .270) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 671 VOLTS: .990 -5.30 1.053 -122.34 .978 116.02 MAG/ANG D-LD: 385.00 220.00 385.00 220.00 385.00 220.00 kW/kVRkVll 4.160 Y CAP: .00 .00 .00 kVRFROM NODE 632 .....: 470.20 -26.90 186.41 -131.89 420.64 101.66 AMP/DG < <671 > LOSS= 35.897: ( 10.484) ( -6.169) ( 31.582) kWTO NODE 680 .......: .00 .00 .00 .00 .00 .00 AMP/DG <680 > LOSS= .000: ( -.001) ( .001) ( .000) kWTO NODE 684 .......: 63.07 -39.12 71.15 121.62 AMP/DG <684 > LOSS= .580: ( .210) ( .370) kWTO NODE 692 .......: 229.11 -18.18 69.61 -55.19 178.38 109.39 AMP/DG <692 > LOSS= .008: ( .003) ( -.001) ( .006) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 680 VOLTS: .990 -5.30 1.053 -122.34 .978 116.02 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE 671 .....: .00 .00 .00 .00 .00 .00 AMP/DG <680 > LOSS= .000: ( -.001) ( .001) ( .000) kWp 3- R A D I A L P O W E R F L O W --- DATE: 6-24-2004 AT 15:33:27 HOURS ---SUBSTATION: IEEE 13; FEEDER: IEEE 13-------------------------------------------------------------------------------NODE VALUE PHASE A PHASE B PHASE C UNT O/L<(LINE A) (LINE B) (LINE C) 60.%---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 684 VOLTS: .988 -5.32 .976 115.92 MAG/ANG-LD: .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 kVRFROM NODE 671 .....: 63.07 -39.12 71.15 121.61 AMP/DG<684 > LOSS= .580: ( .210) ( .370) kWTO NODE 611 .......: 71.15 121.61 AMP/DG<611 > LOSS= .382: ( .382) kWTO NODE 652 .......: 63.07 -39.12 AMP/DG<652 > LOSS= .808: ( .808) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 611 VOLTS: .974 115.78 MAG/ANGY-LD: 165.54 77.90 kW/kVRkVLL 4.160 Y CAP: 94.82 kVRFROM NODE 684 .....: 71.15 121.61 AMP/DG<611 > LOSS= .382: ( .382) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 652 VOLTS: .983 -5.25 MAG/ANGY-LD: 123.56 83.02 kW/kVRkVll 4.160 Y CAP: .00 kVRFROM NODE 684 .....: 63.08 -39.15 AMP/DG<652 > LOSS= .808: ( .808) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 692 VOLTS: .990 -5.31 1.053 -122.34 .978 116.02 MAG/ANGD-LD: .00 .00 .00 .00 168.37 149.55 kW/kVRkVll 4.160 Y CAP: .00 .00 .00 kVRFROM NODE 671 .....: 229.11 -18.18 69.61 -55.19 178.38 109.39 AMP/DG<692 > LOSS= .008: ( .003) ( -.001) ( .006) kWTO NODE 675 .......: 205.33 -5.15 69.61 -55.19 124.07 111.79 AMP/DG <<675 > LOSS= 4.136: ( 3.218) ( .345) ( .573) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 675 VOLTS: .983 -5.56 1.055 -122.52 .976 116.03 MAG/ANGY-LD: 485.00 190.00 68.00 60.00 290.00 212.00 kW/kVRkVll 4.160 Y CAP: 193.44 222.75 190.45 kVRFROM NODE 692 .....: 205.33 -5.15 69.59 -55.20 124.07 111.78 AMP/DG <<675 > LOSS= 4.136: ( 3.218) ( .345) ( .573) kWThe Institute of Electrical and Electronics Engineers, Inc.。
×times sign multiplication 2 × 3 = 6 ·multiplication dot multiplication 2 · 3 = 6÷division sign /division 6 ÷ 2 = 3obelus/ division slash division 6 / 2 = 3–horizontal line division / fractionmod modulo remainder calculation 7 mod 2 = 1. period decimal point, decimal2.56 = 2+56/100separatora b power exponent 23= 8a^b caret exponent 2 ^ 3= 8√a square root √a ·√a = a√9 = ±33√a cube root 3√a ·3√a ·3√a = a3√8 = 24√a fourth root 4√a ·4√a ·4√a ·4√a = a4√16 = ±2n√a n-th root (radical) for n=3, n√8 = 2% percent1% = 1/100 10% × 30 = 3‰per-mille1‰ = 1/1000 = 0.1%10‰ × 30 = 0.3ppm per-million1ppm = 1/1000000 10ppm × 30 = 0.0003ppb per-billion 1ppb = 1/1000000000 10ppb × 30 = 3×10-7ppt per-trillion 1ppt = 10-1210ppt × 30 = 3×10-10Geometry symbolsSymbol Symbol Name Meaning / definition Example ∠angle formed by two rays ∠ABC = 30°measuredABC = 30°anglespherical angle AOB = 30°∟right angle = 90°α = 90°°degree 1 turn = 360°α = 60°deg degree 1 turn = 360deg α = 60deg′prime arcminute, 1° = 60′α = 60°59′″double prime arcsecond, 1′ = 60″α = 60°59′59″line infinite lineAB line segment line from point A to point Bray line that start from point Aarc arc from point A to point B= 60°⊥perpendicular perpendicular lines (90° angle) AC ⊥ BC| | parallel parallel lines AB | | CD≅congruent to equivalence of geometric shapes and size ∆ABC≅∆XYZ ~ similarity same shapes, not same size ∆ABC~ ∆XYZ Δtriangle triangle shape ΔABC≅ΔBCD |x-y| distance distance between points x and y | x-y | = 5πpi constant π = 3.141592654...is the ratio between the circumference and diameter of acirclec = π·d = 2·π·rrad radians radians angle unit 360° = 2π rad c radians radians angle unit 360° = 2πcgrad gradians / gons grads angle unit 360° = 400 gradg gradians / gons grads angle unit 360° = 400 g Algebra symbolsSymbol Symbol Name Meaning /definitionExample[a,b] closed interval [a,b] ={x | a≤x≤b}x∈[2,6]∆delta change /difference∆t = t1 - t0∆discriminant Δ =b2 - 4ac∑sigma summation -sum of allvalues in rangeof series∑ x i= x1+x2+...+x n∑∑sigma doublesummation∏capital pi product -product of allvalues in rangeof series∏ x i=x1∙x2∙...∙x ne e constant / Euler's number e =2.718281828...e = lim (1+1/x)x , x→∞γEuler-Mascheroni constantγ =0.527721566...φgolden ratio golden ratioconstantπpi constant π =3.141592654...is the ratiobetween thecircumference anddiameter of acirclec = π·d = 2·π·rLinear Algebra SymbolsSymbol Symbol Name Meaning / definition Example ·dot scalar product a · b×cross vector product a × bA⊗B tensor product tensor product of A and B A⊗B inner product[ ] brackets matrix of numbers( ) parentheses matrix of numbers| A | determinant determinant of matrix Adet(A) determinant determinant of matrix A|| x || double vertical bars normA T transpose matrix transpose (A T)ij = (A)jiA†Hermitian matrix matrix conjugate transpose (A†)ij = (A)ji A*Hermitian matrix matrix conjugate transpose (A*)ij = (A)ji A-1inverse matrix A A-1 = Irank(A) matrix rank rank of matrix A rank(A) = 3 dim(U) dimension dimension of matrix A rank(U) = 3 Probability and statistics symbolsSymbol Symbol Name Meaning / definition ExampleP(A) probabilityfunctionprobability of event A P(A) = 0.5P(A∩B) probability ofeventsintersectionprobability that ofevents A and BP(A∩B) = 0.5P(A∪B) probability ofevents union probability that ofevents A or BP(A∪B) = 0.5P(A | B) conditionalprobabilityfunctionprobability of event Agiven event BoccuredP(A | B) = 0.3f (x) probabilitydensity function(pdf)P(a ≤ x ≤ b) = ∫f (x) dxF(x) cumulative F(x) = P(X≤ x)distribution function (cdf)μpopulationmean mean of populationvaluesμ = 10E(X) expectationvalue expected value ofrandom variable XE(X) = 10E(X | Y) conditionalexpectation expected value ofrandom variable Xgiven YE(X | Y=2) = 5var(X) variance variance of randomvariable Xvar(X) = 4σ2variance variance ofpopulation valuesσ2 = 4std(X) standarddeviation standard deviation ofrandom variable Xstd(X) = 2σX standarddeviation standard deviationvalue of randomvariable XσX=2median middle value of random variable xcov(X,Y) covariance covariance ofrandom variables Xand Ycov(X,Y) = 4corr(X,Y) correlation correlation ofrandom variables Xand Ycorr(X,Y) = 0.6ρX,Y correlation correlation ofrandom variables Xand YρX,Y = 0.6∑summation summation - sum of all values in range of series∑∑doublesummationdouble summationBin(n,p) binomialdistributionf (k) = n C k p k(1-p)n-kPoisson(λ)Poissondistributionf (k)= λk e-λ / k!Geom(p) geometricdistributionf (k) = p(1-p) kHG(N,K,n) hyper-geometric distributionBern(p) Bernoulli distributionCombinatorics SymbolsSymbol Symbol Name Meaning / definition Examplen! factorial n! = 1·2·3·...·n5! = 1·2·3·4·5 = 120 n P k permutation 5P3 = 5! / (5-3)! = 60 n C kcombination 5C3 = 5!/[3!(5-3)!]=10Set theory symbolsSymbol Symbol Name Meaning / definition Example{ } set a collection of elements A = {3,7,9,14},B = {9,14,28}A ∩B intersection objects that belong to set A and setBA ∩B = {9,14}A ∪B union objects that belong to set A or setBA ∪B ={3,7,9,14,28}A ⊆B subset subset has fewer elements orequal to the set{9,14,28} ⊆{9,14,28}A ⊂B proper subset / strict subset has fewer elements than {9,14} ⊂subset the set {9,14,28}A ⊄B not subset left set not a subset of right set {9,66} ⊄{9,14,28}A ⊇B superset set A has more elements or equalto the set B{9,14,28} ⊇{9,14,28}A ⊃B proper superset / strictsupersetset A has more elements than setB{9,14,28} ⊃{9,14}A ⊅B not superset set A is not a superset of set B {9,14,28} ⊅{9,66}2A power set all subsets of A power set all subsets of AA =B equality both sets have the same members A={3,9,14}, B={3,9,14}, A=BA c complement all the objects that do not belong to set AA \B relative complement objects that belong to A and not toBA = {3,9,14},B = {1,2,3},A-B = {9,14}A -B relative complement objects that belong to A and not toBA = {3,9,14},B = {1,2,3},A-B = {9,14}A ∆B symmetric difference objects that belong to A or B butnot to their intersectionA = {3,9,14},B = {1,2,3},A ∆B ={1,2,9,14}A ⊖B symmetric difference objects that belong to A or B butnot to their intersectionA = {3,9,14},B = {1,2,3},A ⊖B ={1,2,9,14}a∈A element of set membership A={3,9,14}, 3 ∈Ax∉A not element of no set membership A={3,9,14}, 1 ∉A(a,b) ordered pair collection of 2 elementsA×B cartesian product set of all ordered pairs from A andB|A| cardinality the number of elements of set A A={3,9,14},|A|=3#A cardinality the number of elements of set A A={3,9,14},#A=3aleph-null infinite cardinality of natural numbers setaleph-one cardinality of countable ordinal numbers setØ empty set Ø = { } C = {Ø} universal set set of all possible values0natural numbers / wholenumbers set (with zero) 0= {0,1,2,3,4,...} 0 ∈01natural numbers / wholenumbers set (withoutzero)1= {1,2,3,4,5,...} 6 ∈1 integer numbers set = {...-3,-2,-1,0,1,2,3,...} -6 ∈rational numbers set = {x | x=a/b, a,b∈} 2/6 ∈real numbers set = {x | -∞ < x <∞} 6.343434∈complex numbers set= {z | z=a+bi,-∞<a<∞,-∞<b<∞}6+2i∈Logic symbolsSymbol Symbol Name Meaning / definition Example ·and and x·y^ caret / circumflex and x ^ y& ampersand and x & y+ plus or x + y∨reversed caret or x∨y | vertical line or x | yx' single quote not - negation x'x bar not - negation x¬not not - negation ¬x! exclamation mark not - negation ! x⊕circled plus / oplus exclusive or - xor x⊕y ~ tilde negation ~ x⇒implies⇔equivalent if and only if (iff)↔equivalent if and only if (iff)∀for all∃there exists∄there does not exists∴therefore∵because / sinceCalculus & analysis symbolsSymbol Symbol Name Meaning / definition Example limit limit value of a functionεepsilon represents a very small number,ε→0near zeroe e constant / Euler'snumber e = 2.718281828...e = lim(1+1/x)x ,x→∞y ' derivative derivative - Lagrange's notation (3x3)' = 9x2y '' second derivative derivative of derivative (3x3)'' = 18xy(n)nth derivative n times derivation (3x3)(3) = 18 derivative derivative - Leibniz's notation d(3x3)/dx = 9x2second derivative derivative of derivative d2(3x3)/dx2 = 18xnth derivative n times derivationtime derivative derivative by time - Newton's notationtime secondderivativederivative of derivativeD x y derivative derivative - Euler's notationD x2y second derivative derivative of derivativepartial derivative ∂(x2+y2)/∂x = 2x ∫integral opposite to derivation ∫f(x)dx∫∫double integral integration of function of 2variables∫∫f(x,y)dxdy∫∫∫triple integral integration of function of 3variables∫∫∫f(x,y,z)dxdydz∮closed contour / lineintegral∯closed surfaceintegral∰closed volumeintegral[a,b] closed interval [a,b] = {x | a ≤ x ≤ b}(a,b) open interval (a,b) = {x | a < x < b}i imaginary unit i≡ √-1 z = 3 + 2i z* complex conjugate z = a+bi→z*=a-bi z* = 3 - 2i z complex conjugate z = a+bi→z = a-bi z = 3 - 2i ∇nabla / del gradient / divergence operator ∇f (x,y,z) vectorunit vectorx * y convolution y(t) = x(t) * h(t)Laplace transform F(s) = {f (t)}Fourier transform X(ω) = {f (t)}δdelta function∞lemniscate infinity symbol。
The Kendall Rank CorrelationCoefficientHervéAbdi11OverviewThe Kendall(1955)rank correlation coefficient evaluates the de-gree of similarity between two sets of ranks given to a same set of objects.This coefficient depends upon the number of inversions of pairs of objects which would be needed to transform one rank order into the other.In order to do so,each rank order is repre-sented by the set of all pairs of objects(e.g.,[a,b]and[b,a]are the two pairs representing the objects a and b),and a value of1or 0is assigned to this pair when its order corresponds or does not correspond to the way these two objects were ordered.This cod-ing schema provides a set of binary values which are then used to compute a Pearson correlation coefficient.2Notations and definitionLet S be a set of N objectsS= a,b,...,x,y .(1) 1In:Neil Salkind(Ed.)(2007).Encyclopedia of Measurement and Statistics. Thousand Oaks(CA):Sage.Address correspondence to:HervéAbdiProgram in Cognition and Neurosciences,MS:Gr.4.1,The University of Texas at Dallas,Richardson,TX75083–0688,USAE-mail:herve@ /∼herveWhen the order of the elements of the set is taken into account we obtain an ordered set which can also be represented by the rank order given to the objects of the set.For example with the following set of N=4objectsS={a,b,c,d},(2) the ordered set O1=[a,c,b,d]gives the ranks R1=[1,3,2,4].An ordered set on N objects can be decomposed into1N(N−1)or-dered pairs.For example,O1is composed of the following6or-dered pairsP1={[a,c],[a,b],[a,d],[c,b],[c,d],[b,d]}.(3) In order to compare two ordered sets(on the same set of objects), the approach of Kendall is to count the number of different pairs between these two ordered sets.This number gives a distance be-tween sets(see entry on distance)called the symmetric difference distance(the symmetric difference is a set operation which asso-ciates to two sets the set of elements that belong to only one set). The symmetric difference distance between two sets of ordered pairs P1and P2is denoted d∆(P1,P2).Kendall coefficient of correlation is obtained by normalizing the symmetric difference such that it will take values between−1 and+1with−1corresponding to the largest possible distance(ob-tained when one order is the exact reverse of the other order)and +1corresponding to the smallest possible distance(equal to0,ob-tained when both orders are identical).Taking into that the maxi-mum number of pairs which can differ between two sets with12N(N−1)elements is equal toN(N−1),this gives the following formula for Kendall rank correlation coef-ficient:τ=12N(N−1)−d∆(P1,P2)1N(N−1)=1−2×[d∆(P1,P2)]N(N−1).(4)How should the Kendall coefficient be interpreted?Because τis based upon counting the number of different pairs between two ordered sets,its interpretation can be framed in a probabilis-tic context(see,e.g.,Hays,1973).Specifically,for a pair of objects taken at random,τcan be interpreted as the difference between the probability for this objects to be in the same order[denoted P(same)]and the probability of these objects being in a different order[denoted P(different)].Formally,we have:τ=P(same)−P(different).(5)3An exampleSuppose that two experts order four wines called{a,b,c,d}.The first expert gives the following order:O1=[a,c,b,d],which corre-sponds to the following ranks R1=[1,3,2,4];and the second ex-pert orders the wines as O2=[a,c,d,b]which corresponds to the following ranks R2=[1,4,2,3].The order given by thefirst expert is composed of the following6ordered pairsP1={[a,c],[a,b],[a,d],[c,b],[c,d],[b,d]}.(6) The order given by the second expert is composed of the following 6ordered pairsP2={[a,c],[a,b],[a,d],[c,b],[c,d],[d,b]}.(7) The set of pairs which are in only one set of ordered pairs is{[b,d][d,b]},(8) which gives a value of d∆(P1,P2)=2.With this value of the sym-metric difference distance we compute the value of the Kendall rank correlation coefficient between the order given by these two experts as:τ=1−2×[d∆(P1,P2)]N(N−1)=1−2×212=1−13≈.67.(9)This large value ofτindicates that the two experts strongly agree on their evaluation of the wines(in fact their agree about every-thing but one pair).The obvious question,now,is to assess if such a large value could have been obtained by chance or can be con-sidered as evidence for a real agreement between the experts.This question is addressed in the next section.4Significance testThe Kendall correlation coefficient depends only the order of the pairs,and it can always be computed assuming that one of the rank order serves as a reference point(e.g.,with N=4elements we assume arbitrarily that thefirst order is equal to1234).Therefore, with two rank orders provided on N objects,there are N!different possible outcomes(each corresponding to a given possible order) to consider for computing the sampling distribution ofτ.As an il-lustration,Table1,shows all the N!=4×3×2=24possible rank orders for a set of N=4objects along with its value ofτwith the “canonical order”(i.e.,1234).From this table,we can compute the probability p associated with each possible value ofτ.For exam-ple,wefind that the p-value associated with a one-tail test for a value ofτ=2is equal top=P τ≥23 =Number ofτ≥23Total number ofτ=424=.17.(10)We can alsofind from Table1that in order to reject the null hy-pothesis at the alpha levelα=.05,we need to have(with a one-tail test)perfect agreement or perfect disagreement(here p=124=.0417).For our example of the wine experts,we found thatτwas equal to.67,this value is smaller than the critical value of+1(as given by Table2)and therefore we cannot reject the null hypothesis,and we cannot conclude that the expert displayed a significant agreement in their ordering of the wines.The computation of the sampling distribution is always theo-retically possible because it isfinite.But this requires computingT a b l e 1:T h e s e t o f a l l p o s s i b l e r a n k o r d e r s f o r N =4,a l o n g w i t h t h e i r c o r r e l a t i o n w i t h t h e “c a n o n i c a l "o r d e r 1234.R a n k O r d e r s 123456789101112131415161718192021222324111111222222333333444444223344113344112244112233342423341413241412231312434232434131424121323121τ1232313132313130−13130−13−13−230−13−13−23−23−1Table2:Critical values ofτforα=.05andα=.01.N=Size of Data Set45678910α=.051.8000.7333.6190.5714.5000.4667α=.01—1.8667.8095.7143.6667.6000N!coefficients of correlation,and therefore it becomes practically impossible to implement these computations for even moderately large values of N.This problem,however,is not as drastic as it seems because the sampling distribution ofτconverges towards a normal distribution(the convergence is satisfactory for values of N larger than10),with a mean of0and a variance equal toσ2τ=2(2N+5)9N(N−1).(11)Therefore,for N larger than10,a null hypothesis test can be per-formed by transformingτinto a Z value as:Zτ=τστ=τ2(2N+5)9N(N−1).(12)This Z value is normally distributed with a mean of0and a stan-dard deviation of1.For example,suppose that we have two experts rank ordering two sets of11wines,if thefirst expert gives the following rank orderR1=[1,2,3,4,5,6,7,8,9,10,11]and the second expert gives the following rank orderR2=[1,3,4,5,7,8,2,9,10,6,11].With these orders,wefind that a value ofτ=.6727.When trans-formed into a Z value,we obtainZτ=.67272(2×10+5)9×11×10=.672754990≈2.88.(13)This value of Z=2.88is large enough to reject the null hypothesis at theα=.01level,and therefore we can conclude that the experts are showing a significant agreement between their evaluation of the set of wines.4.1Kendall and Pearson coefficients of correlation Kendall coefficient of correlation can also be interpreted as a stan-dard coefficient of correlation computed between two set of N(N−1)binary values where each set represents all the possible pairs obtained from N objects and assigning a value of1when a pair is present in the order an0if not.4.2Extensions of the Kendall coefficientBecause Kendall rank order coefficient relies on a set distance,it can easily be generalized to other combinatoric structures such as weak orders,partial orders,or partitions.In all cases,the idea is similar:first compute the symmetric difference distances between the two set of the pairs representing the binary relation and then normalize this distance such that it will take values between−1 and+1(see Degenne1972,for an illustration and development of these ideas).References[1]Degenne,A.(1972)Techniques ordinales en analyse des données.Paris:Hachette.[2]Hays,W.L.(1973).Statistics.New York:Holt Rinehart&Winston.[3]Kendall,M.G.,(1955).Rank Correlation Methods.New York:Hafner Publishing Co.[4]Siegel,S.(1956).Nonparametric statistics for the behavioral sci-ences.New York:McGrawHill.。
The hardening soil model: Formulation and verificationT. SchanzLaboratory of Soil Mechanics, Bauhaus-University Weimar, GermanyP.A. VermeerInstitute of Geotechnical Engineering, University Stuttgart, GermanyP.G. BonnierP LAXIS B.V., NetherlandsKeywords: constitutive modeling, HS-model, calibration, verificationABSTRACT: A new constitutive model is introduced which is formulated in the framework of classical theory of plasticity. In the model the total strains are calculated using a stress-dependent stiffness, different for both virgin loading and un-/reloading. The plastic strains are calculated by introducing a multi-surface yield criterion. Hardening is assumed to be isotropic depending on both the plastic shear and volumetric strain. For the frictional hardening a non-associated and for the cap hardening an associated flow rule is assumed.First the model is written in its rate form. Therefor the essential equations for the stiffness mod-ules, the yield-, failure- and plastic potential surfaces are given.In the next part some remarks are given on the models incremental implementation in the P LAXIS computer code. The parameters used in the model are summarized, their physical interpre-tation and determination are explained in detail.The model is calibrated for a loose sand for which a lot of experimental data is available. With the so calibrated model undrained shear tests and pressuremeter tests are back-calculated.The paper ends with some remarks on the limitations of the model and an outlook on further de-velopments.1INTRODUCTIONDue to the considerable expense of soil testing, good quality input data for stress-strain relation-ships tend to be very limited. In many cases of daily geotechnical engineering one has good data on strength parameters but little or no data on stiffness parameters. In such a situation, it is no help to employ complex stress-strain models for calculating geotechnical boundary value problems. In-stead of using Hooke's single-stiffness model with linear elasticity in combination with an ideal plasticity according to Mohr-Coulomb a new constitutive formulation using a double-stiffness model for elasticity in combination with isotropic strain hardening is presented.Summarizing the existing double-stiffness models the most dominant type of model is the Cam-Clay model (Hashiguchi 1985, Hashiguchi 1993). To describe the non-linear stress-strain behav-iour of soils, beside the Cam-Clay model the pseudo-elastic (hypo-elastic) type of model has been developed. There an Hookean relationship is assumed between increments of stress and strain and non-linearity is achieved by means of varying Young's modulus. By far the best known model of this category ist the Duncan-Chang model, also known as the hyperbolic model (Duncan & Chang 1970). This model captures soil behaviour in a very tractable manner on the basis of only two stiff-ness parameters and is very much appreciated among consulting geotechnical engineers. The major inconsistency of this type of model which is the reason why it is not accepted by scientists is that, in contrast to the elasto-plastic type of model, a purely hypo-elastic model cannot consistently dis-tinguish between loading and unloading. In addition, the model is not suitable for collapse load computations in the fully plastic range.12These restrictions will be overcome by formulating a model in an elasto-plastic framework in this paper. Doing so the Hardening-Soil model, however, supersedes the Duncan-Chang model by far. Firstly by using the theory of plasticity rather than the theory of elasticity. Secondly by includ-ing soil dilatancy and thirdly by introducing a yield cap.In contrast to an elastic perfectly-plastic model, the yield surface of the Hardening Soil model is not fixed in principal stress space, but it can expand due to plastic straining. Distinction is made between two main types of hardening, namely shear hardening and compression hardening. Shear hardening is used to model irreversible strains due to primary deviatoric loading. Compression hardening is used to model irreversible plastic strains due to primary compression in oedometer loading and isotropic loading.For the sake of convenience, restriction is made in the following sections to triaxial loading conditions with 2σ′ = 3σ′ and 1σ′ being the effective major compressive stress.2 CONSTITUTIVE EQUATIONS FOR STANDARD DRAINED TRIAXIAL TESTA basic idea for the formulation of the Hardening-Soil model is the hyperbolic relationship be-tween the vertical strain ε1, and the deviatoric stress, q , in primary triaxial loading. When subjected to primary deviatoric loading, soil shows a decreasing stiffness and simultaneously irreversible plastic strains develop. In the special case of a drained triaxial test, the observed relationship be-tween the axial strain and the deviatoric stress can be well approximated by a hyperbola (Kondner& Zelasko 1963). Standard drained triaxial tests tend to yield curves that can be described by:The ultimate deviatoric stress, q f , and the quantity q a in Eq. 1 are defined as:The above relationship for q f is derived from the Mohr-Coulomb failure criterion, which involves the strength parameters c and ϕp . As soon as q = q f , the failure criterion is satisfied and perfectly plastic yielding occurs. The ratio between q f and q a is given by the failure ratio R f , which should obviously be smaller than 1. R f = 0.9 often is a suitable default setting. This hyperbolic relationship is plotted in Fig. 1.2.1 Stiffness for primary loadingThe stress strain behaviour for primary loading is highly nonlinear. The parameter E 50 is the con-fining stress dependent stiffness modulus for primary loading. E 50is used instead of the initial modulus E i for small strain which, as a tangent modulus, is more difficult to determine experimen-tally. It is given by the equation:ref E 50is a reference stiffness modulus corresponding to the reference stress ref p . The actual stiff-ness depends on the minor principal stress, 3σ′, which is the effective confining pressure in a tri-axial test. The amount of stress dependency is given by the power m . In order to simulate a loga-rithmic stress dependency, as observed for soft clays, the power should be taken equal to 1.0. As a3Figure 1. Hyperbolic stress-strain relation in primary loading for a standard drained triaxial test.secant modulus ref E 50 is determined from a triaxial stress-strain-curve for a mobilization of 50% ofthe maximum shear strength q f .2.2 Stiffness for un-/reloadingFor unloading and reloading stress paths, another stress-dependent stiffness modulus is used:where ref urE is the reference Young's modulus for unloading and reloading, corresponding to the reference pressure σ ref . Doing so the un-/reloading path is modeled as purely (non-linear) elastic.The elastic components of strain εe are calculated according to a Hookean type of elastic relation using Eqs. 4 + 5 and a constant value for the un-/reloading Poisson's ratio υur .For drained triaxial test stress paths with σ2 = σ3 = constant, the elastic Young's modulus E ur re-mains constant and the elastic strains are given by the equations:Here it should be realised that restriction is made to strains that develop during deviatoric loading,whilst the strains that develop during the very first stage of the test are not considered. For the first stage of isotropic compression (with consolidation), the Hardening-Soil model predicts fully elastic volume changes according to Hooke's law, but these strains are not included in Eq. 6.2.3 Yield surface, failure condition, hardening lawFor the triaxial case the two yield functions f 12 and f 13 are defined according to Eqs. 7 and 8. Here4Figure 2. Successive yield loci for various values of the hardening parameter γ p and failure surface.the measure of the plastic shear strain γ p according to Eq. 9 is used as the relevant parameter forthe frictional hardening:with the definitionIn reality, plastic volumetric strains p υε will never be precisely equal to zero, but for hard soils plastic volume changes tend to be small when compared with the axial strain, so that the approxi-mation in Eq. 9 will generally be accurate.For a given constant value of the hardening parameter, γ p , the yield condition f 12 = f 13 = 0 can be visualised in p'-q-plane by means of a yield locus. When plotting such yield loci, one has to use Eqs. 7 and 8 as well as Eqs. 3 and 4 for E 50 and E ur respectively. Because of the latter expressions,the shape of the yield loci depends on the exponent m . For m = 1.0 straight lines are obtained, but slightly curved yield loci correspond to lower values of the exponent. Fig. 2 shows the shape of successive yield loci for m = 0.5, being typical for hard soils. For increasing loading the failure sur-faces approach the linear failure condition according to Eq. 2.2.4 Flow rule, plastic potential functionsHaving presented a relationship for the plastic shear strain, γ p , attention is now focused on the plastic volumetric strain p υε. As for all plasticity models, the Hardening-Soil model involves a re-lationship between rates of plastic strain, i.e. a relationship between p υε and p γ . This flow rule hasthe linear form:5Clearly, further detail is needed by specifying the mobilized dilatancy angle m ψ. For the presentmodel, the expression:is adopted, where cv ϕ is the critical state friction angle, being a material constant independent ofdensity (Schanz & Vermeer 1996), and m ϕ is the mobilized friction angle:The above equations correspond to the well-known stress-dilatancy theory (Rowe 1962, Rowe 1971), as explained by (Schanz & Vermeer 1996). The essential property of the stress-dilatancy theory is that the material contracts for small stress ratios m ϕ < cv ϕ, whilst dilatancy occurs for high stress ratios m ϕ < cv ϕ. At failure, when the mobilized friction angle equals the failure angle,p ϕ, it is found from Eq. 11 that:Hence, the critical state angle can be computed from the failure angles p ϕand p ψ. The above defi-nition of the flow rule is equivalent to the definition of definition of the plastic potential functionsg 12 and g 13 according to:Using theKoiter-rule (Koiter 1960) for yielding depending on two yield surfaces (Multi-surface plasticity ) one finds:Calculating the different plastic strain rates by this equation, Eq. 10 directly follows.3 TIME INTEGRATIONThe model as described above has been implemented in the finite element code P LAXIS (Vermeer& Brinkgreve 1998). To do so, the model equations have to be written in incremental form. Due to this incremental formulation several assumptions and modifications have to be made, which will be explained in this section.During the global iteration process, the displacement increment follows from subsequent solu-tion of the global system of equations:where K is the global stiffness matrix in which we use the elastic Hooke's matrix D , f ext is a global load vector following from the external loads and f int is the global reaction vector following from the stresses. The stress at the end of an increment σ 1 can be calculated (for a given strain increment ∆ε) as:6whereσ0 , stress at the start of the increment,∆σ , resulting stress increment,4D , Hooke's elasticity matrix, based on the unloading-reloading stiffness,∆ε , strain increment (= B ∆u ),γ p , measure of the plastic shear strain, used as hardening parameter,∆Λ , increment of the non-negative multiplier,g , plastic potential function.The multiplier Λ has to be determined from the condition that the function f (σ1, γ p ) = 0 has to be zero for the new stress and deformation state.As during the increment of strain the stresses change, the stress dependant variables, like the elasticity matrix and the plastic potential function g , also change. The change in the stiffness during the increment is not very important as in many cases the deformations are dominated by plasticity.This is also the reason why a Hooke's matrix is used. We use the stiffness matrix 4D based on the stresses at the beginning of the step (Euler explicit ). In cases where the stress increment follows from elasticity alone, such as in unloading or reloading, we iterate on the average stiffness during the increment.The plastic potential function g also depends on the stresses and the mobilized dilation angle m ψ. The dilation angle for these derivatives is taken at the beginning of the step. The implementa-tion uses an implicit scheme for the derivatives of the plastic potential function g . The derivatives are taken at a predictor stress σtr , following from elasticity and the plastic deformation in the previ-ous iteration:The calculation of the stress increment can be performed in principal stress space. Therefore ini-tially the principal stresses and principal directions have to be calculated from the Cartesian stresses, based on the elastic prediction. To indicate this we use the subscripts 1, 2 and 3 and have 321σσσ≥≥ where compression is assumed to be positive.Principal plastic strain increments are now calculated and finally the Cartesian stresses have to be back-calculated from the resulting principal constitutive stresses. The calculation of the consti-tutive stresses can be written as:From this the deviatoric stress q (σ1 – σ3) and the asymptotic deviatoric stress q a can be expressed in the elastic prediction stresses and the multiplier ∆Λ:7whereFor these stresses the functionshould be zero. As the increment of the plastic shear strain ∆γ p also depends linearly on the multi-plier ∆Λ, the above formulae result in a (complicated) quadratic equation for the multiplier ∆Λwhich can be solved easily. Using the resulting value of ∆Λ, one can calculate (incremental)stresses and the (increment of the) plastic shear strain.In the above formulation it is assumed that there is a single yield function. In case of triaxial compression or triaxial extension states of stress there are two yield functions and two plastic po-tential functions. Following (Koiter 1960) one can write:where the subscripts indicate the principal stresses used for the yield and potential functions. At most two of the multipliers are positive. In case of triaxial compression we have σ2 = σ3, Λ23 = 0and we use two consistency conditions instead of one as above. The increment of the plastic shear strain has to be expressed in the multipliers. This again results in a quadratic equation in one of the multipliers.When the stresses are calculated one still has to check if the stress state violates the yield crite-rion q ≤ q f . When this happens the stresses have to be returned to the Mohr-Coulomb yield surface.4 ON THE CAP YIELD SURFACEShear yield surfaces as indicated in Fig. 2 do not explain the plastic volume strain that is measured in isotropic compression. A second type of yield surface must therefore be introduced to close the elastic region in the direction of the p-axis. Without such a cap type yield surface it would not be possible to formulate a model with independent input of both E 50 and E oed . The triaxial modulus largely controls the shear yield surface and the oedometer modulus controls the cap yield surface.In fact, ref E 50largely controls the magnitude of the plastic strains that are associated with the shear yield surface. Similarly, ref oedE is used to control the magnitude of plastic strains that originate from the yield cap. In this section the yield cap will be described in full detail. To this end we consider the definition of the cap yield surface (a = c cot ϕ):8where M is an auxiliary model parameter that relates to NC K 0 as will be discussed later. Further more we have p = (σ1 + σ2+ σ3) andwithq is a special stress measure for deviatoric stresses. In the special case of triaxial compression it yields q = (σ1 – σ3) and for triaxial extension reduces to q = α (σ1 –σ3). For yielding on the cap surface we use an associated flow rule with the definition of the plastic potential g c :The magnitude of the yield cap is determined by the isotropic pre-consolidation stress p c . For the case of isotropic compression the evolution ofp c can be related to the plastic volumetric strain rate p v ε:Here H is the hardening modulus according to Eq. 32, which expresses the relation between theelastic swelling modulus K s and the elasto-plastic compression modulus K c for isotropic compres-sion:From this definition follows a stress dependency of H . For the case of isotropic compression we haveq = 0 and therefor c p p=. For this reason we find Eq. 33 directly from Eq. 31:The plastic multiplier c Λ referring to the cap is determined according to Eq. 35 using the addi-tional consistency condition:Using Eqs. 33 and 35 we find the hardening law relating p c to the volumetric cap strain c v ε:9Figure 3. Representation of total yield contour of the Hardening-Soil model in principal stress space for co-hesionless soil.The volumetric cap strain is the plastic volumetric strain in isotropic compression. In addition to the well known constants m and σref there is another model constant H . Both H and M are cap pa-rameters, but they are not used as direct input parameters. Instead, we have relationships of theform NC K 0=NC K 0(..., M, H ) and ref oed E = ref oed E (..., M, H ), such that NC K 0and ref oed E can be used as in-put parameters that determine the magnitude of M and H respectively. The shape of the yield cap is an ellipse in p – q ~-plane. This ellipse has length p c + a on the p -axis and M (p c+ a ) on the q ~-axis.Hence, p c determines its magnitude and M its aspect ratio. High values of M lead to steep caps un-derneath the Mohr-Coulomb line, whereas small M -values define caps that are much more pointed around the p -axis.For understanding the yield surfaces in full detail, one should consider Fig. 3 which depicts yield surfaces in principal stress space. Both the shear locus and the yield cap have the hexagonal shape of the classical Mohr-Coulomb failure criterion. In fact, the shear yield locus can expand up to the ultimate Mohr-Coulomb failure surface. The cap yield surface expands as a function of the pre-consolidation stress p c .5 PARAMETERS OF THE HARDENING-SOIL MODELSome parameters of the present hardening model coincide with those of the classical non-hardening Mohr-Coulomb model. These are the failure parameters ϕp ,, c and ψp . Additionally we use the ba-sic parameters for the soil stiffness:ref E 50, secant stiffness in standard drained triaxial test,ref oedE , tangent stiffness for primary oedometer loading and m , power for stress-level dependency of stiffness.This set of parameters is completed by the following advanced parameters:ref urE , unloading/ reloading stiffness,10v ur , Poisson's ratio for unloading-reloading,p ref , reference stress for stiffnesses,NC K 0, K 0-value for normal consolidation andR f , failure ratio q f / q a .Experimental data on m , E 50 and E oed for granular soils is given in (Schanz & Vermeer 1998).5.1 Basic parameters for stiffnessThe advantage of the Hardening-Soil model over the Mohr-Coulomb model is not only the use of a hyperbolic stress-strain curve instead of a bi-linear curve, but also the control of stress level de-pendency. For real soils the different modules of stiffness depends on the stress level. With theHardening-Soil model a stiffness modulus ref E 50is defined for a reference minor principal stress of σ3 = σref . As some readers are familiar with the input of shear modules rather than the above stiff-ness modules, shear modules will now be discussed. Within Hooke's theory of elasticity conversion between E and G goes by the equation E = 2 (1 + v ) G . As E ur is a real elastic stiffness, one may thus write E ur = 2 (1 + v ur ) G ur , where G ur is an elastic shear modulus. In contrast to E ur , the secant modulus E 50 is not used within a concept of elasticity. As a consequence, there is no simple conver-sion from E 50 to G 50. In contrast to elasticity based models, the elasto-plastic Hardening-Soil model does not involve a fixed relationship between the (drained) triaxial stiffness E 50 and the oedometer stiffness E oed . Instead, these stiffnesses must be given independently. To define the oedometer stiff-ness we usewhere E oed is a tangent stiffness modulus for primary loading. Hence, ref oed E is a tangent stiffness ata vertical stress of σ1 = σref .5.2 Advanced parametersRealistic values of v ur are about 0.2. In contrast to the Mohr-Coulomb model, NC K 0 is not simply a function of Poisson's ratio, but a proper input parameter. As a default setting one can use the highly realistic correlation NC K 0= 1 – sin ϕp . However, one has the possibility to select different values.All possible different input values for NC K 0 cannot be accommodated for. Depending on other pa-rameters, such as E 50, E oed , E ur and v ur , there happens to be a lower bound on NC K 0. The reason for this situation will be explained in the next section.5.3 Dilatancy cut-offAfter extensive shearing, dilating materials arrive in a state of critical density where dilatancy has come to an end. This phenomenon of soil behaviour is included in the Hardening-Soil model by means of a dilatancy cut-off . In order to specify this behaviour, the initial void ratio, e 0, and the maximum void ratio, e cv , of the material are entered. As soon as the volume change results in a state of maximum void, the mobilized dilatancy angle, ψm , is automatically set back to zero, as in-dicated in Eq. 38 and Fig. 4:11Figure 4. Resulting strain curve for a standard drained triaxial test including dilatancy cut-off.The void ratio is related to the volumetric strain, εv by the relationship:where an increment of εv is negative for dilatancy. The initial void ratio, e 0, is the in-situ void ratio of the soil body. The maximum void ratio, e cv , is the void ratio of the material in a state of critical void (critical state).6 CALIBRATION OF THE MODELIn a first step the Hardening-Soil model was calibrated for a sand by back-calculating both triaxial compression and oedometer tests. Parameters for the loosely packed Hostun-sand (e 0 = 0.89), a well known granular soil in geotechnical research, are given in Tab. 1. Figs. 5 and 6 show the satis-fying comparison between the experimental (three different tests) and the numerical result. For the oedometer tests the numerical results consider the unloading loop at the maximum vertical load only.7 VERIFICATION OF THE MODEL7.1 Undrained behaviour of loose Hostun-sandIn order to verify the model in a first step two different triaxial compression tests on loose Hostun-sand under undrained conditions (Djedid 1986) were simulated using the identical parameter from the former calibration. The results of this comparison are displayed in Figs. 7 and 8.In Fig. 7 we can see that for two different confining pressures of σc = 300 and 600 kPa the stress paths in p-q-space coincide very well. For deviatoric loads of q ≈ 300 kPa excess porewater pres-sures tend to be overestimated by the calculations.Additionally in Fig. 8 the stress-strain-behaviour is compared in more detail. This diagram con-tains two different sets of curves. The first set (•, ♠) relates to the axial strain ε1 at the horizontal12Figure 5. Comparison between the numerical (•) and experimental results for the oedometer tests.Figure 6. Comparison between the numerical (•) and experimental results for the drained triaxial tests (σ3 = 300 kPa) on loose Hostun-sand.and the effective stress ratio 31/σσ′′ on the vertical (left) axis. The second set (o , a ) refers to the normalised excess pore water pressure ∆u /σc on the right vertical axis. Experimental results forboth confining stresses are marked by symbols, numerical results by straight and dotted lines.Analysing the amount of effective shear strength it can be seen that the maximum calculated stress ratio falls inside the range of values from the experiments. The variation of effective friction from both tests is from 33.8 to 35.4 degrees compared to an input value of 34 degrees. Axial stiff-ness for a range of vertical strain of ε1 < 0.05 seems to be slightly over-predicted by the model. Dif-ferences become more pronounced for the comparison of excess pore water pressure generation.Here the calculated maximum amount of ∆u is higher then the measured values. The rate of de-crease in ∆u for larger vertical strain falls in the range of the experimental data.Table 1. Parameters of loose Hostun-sand.v urm ϕp ψp ref ref s E E 50/ref ref ur E E 50/ref E 500.200.6534° 0° 0.8 3.0 20 MPa13Figure 7. Undrained behaviour of loose Hostun-sand: p-q-plane.Figure 8. Undrained behaviour of loose Hostun-sand: stress-strain relations.7.2 Pressuremeter test GrenobleThe second example to verify the Hardening-Soil model is a back-calculation of a pressuremeter test on loose Hostun-sand. This test is part of an experimental study using the calibration chamber at the IMG in Grenoble (Branque 1997). This experimental testing facility is shown in Fig. 9.The cylindrical calibration chamber has a height of 150 cm and a diameter of 120 cm. In the test considered in the following a vertical surcharge of 500 kPa is applied at the top of the soil mass by a membrane. Because of the radial deformation constraint the state of stress can be interpreted in this phase as under oedometer conditions. Inside the chamber a pressuremeter sonde of a radius r 0 of 2.75 cm and a length of 16 cm is placed. For the test considered in the following example there was loose Hostun-sand (D r ≈ 0.5) of a density according to the material parameters as shown in Tab. 1 placed around the pressuremeter by pluviation. After the installation of the device and the filling of the chamber the pressure is increased and the resulting volume change is registered.14Figure 9. Pressuremeter Grenoble .This experimental setup was modeled within a FE-simulation as shown in Fig. 10. On the left hand side the axis-symmetric mesh and its boundary conditions is displayed. The dimensions are those of the complete calibration chamber. In the left bottom corner of the geometry the mesh is finer because there the pressuremeter is modeled.In the first calculation phase the vertical surcharge load A is applied. At the same time the hori-zontal load B is increased the way practically no deformations occur at the free deformation bound-ary in the left bottom corner. In the second phase the load group A is kept constant and the load group B is increased according to the loading history in the experiment. The (horizontal) deforma-tions are analysed over the total height of the free boundary. In order to (partly) get rid of the de-formation constrains at the top of this boundary, marked point A in the detail on the right hand side of Fig. 10 two interfaces were placed crossing each other in point A . Fig. 11 shows the comparison of the experimental and numerical results for the test with a vertical surcharge of 500 kPa.On the vertical axis the pressure (relating to load group B ) is given and on the horizontal axis the volumetric deformation of the pressuremeter. Because the calculation was run taking into ac-count large deformations (updated mesh analysis ) the pressure p in the pressuremeter has to be cal-culated from load multiplier ΣLoad B according to Eq. 40, taking into account the mean radial de-formation ∆r of the free boundary:The agreement between the experimental and the numerical data is very good, both for the initial part of phase 2 and for larger deformations of up to 30%.。
Vol.3, No.6, 844-847 (2012)Agricultural Sciences doi:10.4236/as.2012.36102Comparative study of Fusarium oxysporum f sp. lycopersici and Meloidogyne incognita race-2 on plant growth parameters of tomatoSafiuddin Ansari1*, Sheila Shahab1, Mohd. Mazid2, Dania Ahmed11Section of Plant Pathology and Nematology, Aligarh Muslim University, Aligarh, India;*Corresponding Author:**************************2Section of Plant Physiology, Department of Botany, Aligarh Muslim University, Aligarh, IndiaReceived 16 June 2012; revised 20 July 2012; accepted 8 August 2012ABSTRACTMany species of soil-inhabiting fungus Fusa- rium, cause severe yield loss in many crops. Experiments were conducted in net house con- dition with complete randomized block design to determine the individual effect of different in- oculum levels of root-knot nematode, Meloi- dogyne incognita, Race-2 and Fusarium ox- ysporum f sp. lycopersici on plant growth pa- rameters viz., Plant length, fresh and dry weight and number of fruits of tomato var. P21. The experimental results showed that both the path- ogens cause significant reduction in plant growth parameters. However, the fungus was not much effective on plant growth parameters in com-parison to root-knot nematode. Greatest reduc-tion in plant growth parameters was recorded in plants inoculated with 8000 J2/kg soil of Meloi-dogyne incognita race 2. The threshold level of root-knot nematode was 1000 J2/kg soil while threshold level of Fusarium was @ 1 g/kg soil. Inoculum level of Fusarium oxysporum f sp. ly-copersici and Meloidogyne incognita race-2 was pathogenic and caused significant reduction at and above 1 g/kg soil and 1000 J2/kg soil re-spectively.Keywords:Fusarium oxysporum f sp. lycopersici; Meloidogyne incognita Race-2; Tomato and Threshold Level1. INTRODUCTIONTomato (Lycopersicon esculentum Mill.) is the most important tropical vegetable crop and is widely used throughout the world. It is a native of Andes region of South America. Tomato occupies second position amongst the vegetable crops in terms of production. The total production of tomato in the country in 1998-1999 was 8.27 MT from an area of 0.46 Mha. Tomato, as one of the vegetable crops and fruits, is very important in hu-man nutrition Abubakar [1]. Fruit of tomato is rich in Vitamin A, B and C Janes [2].Plant parasitic nematodes cause serious problem in various crops. Lamberti [3] reported that the root-knot nematode cause highest suppression in production of tomato ranging from 10% Taylor [4] to 80% Siddiqi [5]. Four species (Meloidogyne javanica, M. incognita, M. hapla and M. arenaria) of root-knot nematodes are major pests worldwide while another seven being important on a local basis, Eisenback and Triantaphyllou [6]. Root- knot nematodes spend maximum time of their active lives within plant roots feeding on host cells, Williamson and Hussey [7]. The infective stage secondstage juvenile (J2) penetrates through the root and migrates to a site near the vascular tissue.Reduction in yield due to root-knot nematodes (Meloi- dogyne spp.) in tomato range from 28% to 68% Adesiyan et al. [8] and 40% to 46%, Bhatti and Jain [9], Reddy [10].The tomato crop is affected by several fungal patho- gens and Fusariums sp are essentially soil borne, Berkley [11], Horsfall [12]. The fungus Fusariums oxysporum f sp and lycopersici cause wilt disease in tomato crop.2. MATERIALS AND METHODSThe important pathogens viz., root-knot nematode (Meloidogyne incognita), root-rot fungus (F. oxysporum f sp. lycopersici) and an important host plant, tomato, was selected for the present study.2.1. Isolation and Incubation of FungusThe tomato plant infected by fungus Fusarium was collected from field and brought in laboratory. FusariumS. Ansari et al. / Agricultural Sciences 3 (2012) 844-847 845was isolated from roots and collar region of infected to- mato plant. Infected part was cut into pieces (5 cm each) sterilized with sodium hypochlorite (5%) solution for 2 min and rinsed 3 time with sterile water for removal of traces of sodium hypochlorite solution. Sterilized and rinsed pieces were then transferred on petriplates filled with sterilized PDA (Potato Dextrose Agar) Medium in laminar flow. After transfer on PDA it was incubated in BOD at ±26˚C for fifteen days. Fungus was inoculated on Czapek medium and identified morphologically, Bur- gess et al. [13] and Rahjoo et al. [14]. Pathogenicity test was carried out for the identification of race of Fusarium oxysporum f sp . lycopersici.2.2. Raising of Fungus Culture and Maintainof InoculumsFungus culture was raised on Richard’s liquid medium (Magnesium sulphate: 0.25 g, Potassium dihydrogen pho- sphate: 5.00 g, Potassium nitrate: 10.00 g Potato starch: 10.00 g, Sucrose: 50.00 g, Distilled water, 1000.00 ml) Riker and Riker [15] in BOD at ±26˚C for fifteen days. Inoculums were prepared by mixing 10 g mycelial mat with 100 ml of distilled water in warring blender.2.3. Isolation and Preparation of NematodeInoculumRoot-knot nematode M. incognita was isolated from the infected roots of tomato plant. Nematodes were ex- tracted by Petridish assembly method by Chawla and Prasad [16]. Monoculture of root-knot nematode, Meloi- dogyne incognita race 2 was maintained on tomato plants. Pure culture was multiplied and after processing the number of larvae per ml, suspension was counted before inoculation. The counting of nematode @ per ml of sus- pension was done with the help of especially made counting dish under the microscope. The species/race was identified by using perineal pattern determination/ differential host range test Hartman and Sasser [17] be- fore use.The experiment was conducted under net house condi-tions in the Department of Botany Aligarh Muslim Uni-versity Aligarh (AMU) India during the year 2011. Throughout the course of studies, 6 clay pots containing 1 Kg sterilized soil + river sand + farm yard manure (3:1:1) were used and arranged in randomised complete block design and five replicates of each treatment were made and an untreated plant was served as control. The plants were watered regularly. The experiment was ter- minated after 45 days and plant growth parameters were observed in terms of Plant length, fresh weight, dry weight, number of fruits and fruit weight. Data obtained were analysed statistically at P = 0.05 and P = 0.01%.3. RESULTS AND DISCUSSIONInoculums level of fungus Fusarium oxysporum f sp. Lycopersici 0.25 g and 0.50 g/kg soil showed no signifi- cant reduction in plant growth parameters viz. Plant length, fresh and dry weight, number of fruits and fruit weight. However, the plants inoculated with inoculum levels 1.0 g - 8.0 g/kg soil showed significant reduction in plant length (66.5 - 63.1 cm), fresh weight (179.1 - 174.8 gm), dry weight (33.3 - 29.3 g), number of fruits (13.7 - 10.5) and fruit weight (234.6 - 225.0) respectively. Similarly plant inoculated with 250 to 500 J 2/kg soil of Meloidogyne incognita race-2 showed no significant reduction in plant growth parameters while plants inocu- lated with 1000 - 8000 J 2 showed significant reduction in plant growth parameters viz., Plant length (63.8 - 58.8 cm), Fresh weight (178.3 - 164.4 g), dry weight (31.7 - 23.6), number of fruits (11.8 - 8.1) and fruit weight (230.3 - 216.8) as compared to control (Uninoculated) Table 1.Tabel 1. Effect of different inoculum levels of root-knot nematode, Meloidogyne incognita race 2 on plant growth parameters of to- mato.Length (cm)Fresh wt. (gm)Dry wt. (gm)TreatmentsShoot Root Total Shoot Root Total Shoot Root Total No. of fruitsFruit weight(gm) 250N 49.1 24.7 73.8 138.6 62.2 200.8 25.2 13.3 38.5 17.7 267.2 500N 48.3 23.9 72.2 134.9 60.6 195.5 23.7 12.5 36.2 15.3 266.8 1000N 42.4 21.4 63.8 124.4 53.9 178.3 19.2 12.5 31.7 11.8 230.3 2000N 41.5 20.8 62.3 128.2 52.4 180.6 18.5 11.7 30.2 10.4 227.2 4000N 40.4 20.3 60.7 120.1 50.6 170.7 15.9 9.4 25.3 9.3 220.6 8000N 39.5 19.3 58.8 117.1 47.3 164.4 14.7 8.9 23.6 8.1 216.8 Control 49.8 25.2 75.0 141.3 63.5 204.8 26.1 13.6 39.7 19.2 268.8 LSD at 5% 5.26 16.25 2.45 1.20 21.20 LSD at 1%7.7823.033.411.6928.14Value are mean of five replicates.S. Ansari et al. / Agricultural Sciences 3 (2012) 844-847846 Table 2. Effect of different inoculum levels of fungus, Fusarium oxysporum , f sp. lycopersici on plant growth parameters of tomato.Length (cm)Fresh wt. (gm)Dry wt. (gm)TreatmentsShoot Root Total Shoot Root Total Shoot Root Total No. offruitsFruit wt. (gm)0.25F 49.6 25.0 74.6 140.9 63.3 204.2 25.4 13.4 38.8 18.4 268.2 0.50F 49.2 24.6 73.8 140.2 62.9 203.1 24.6 13.0 37.6 16.6 267.3 1.00F 43.5 23.0 66.5 123.9 55.2 179.1 21.1 11.2 33.3 13.7 234.6 2.00F 43.9 22.3 66.2 125.0 53.2 178.2 20.6 10.9 31.5 12.2 230.8 4.00F 42.0 22.3 64.3 122.4 53.1 175.5 19.7 10.4 30.1 11.1 227.1 8.00F 42.2 20.9 63.1 122.6 52.2 174.8 19.2 10.1 29.3 10.5 225.0 Control 49.8 25.2 75.0 141.3 63.5 204.8 26.1 13.6 39.7 19.2 268.8 LSD at 5% 5.44 16.94 2.22 1.28 22.54 LSD at 1%8.0324.253.711.8030.01Values are mean of five replicates.20406080100120140160180T1T2T3T4T5T6Reproduction factor ‐Number of Gall/root system ‐TreatmentsFigure 1. Reproduction factor and Number of galls/root system induced by different inocu-lum levels of root-knot nematode, Meloidogyne incognita race 2 on tomato plants. T1 = 250 J 2 of root-knot nematode, Meloidogyne incognita race 2; T2 = 500 J 2; T3 = 1000 J 2; T4 = 2000 J 2; T5 = 4000 J 2; T6 = 8000 J 2.Fusarium species is most important and soil borne disease of tomato Jones et al . [18] and Smith et al . [19]. Fungal pathogen can survive in soil for several years and cause infection in plants, Walker [20] Holiday [21]. Plants treated with M. incognita race 2 showed greatest reductions in plant growth parameters in comparison to plants treated with Fusarium oxysporum f sp. lycopersici (Table 2).A significant linear relationship was found between the initial population (Pi) and the final population (Pf) of M. incognita race 2. The multiplication of root-knot nematode significantly reduced with the increase in the inoculum levels. The reproduction factor was highest (16.6%) at the minimum inoculums level 250 J 2/kg soil and lowest (2.6%) at the maximum inoculum level 8000 J 2/plant. Thus, the rate of nematode multiplication showeda declining trend with the increase in the initial inoculum level suggesting it to be a density depending phenome-non (Figure 1). Higher multiplication rate for low initial population and low multiplication rate in high initial population was observed. Same results were also ob-served by Brker et al. [22], Di Vito and Ekanayake [23] and Haseeb et al . [24]. It can be concluded from these results that the damaging threshold levels of M. incognita race 2 on tomato was found to be as 1000 J 2/kg soil while threshold level of fungus, Fusarium oxysporum f sp. Ly- copersici, was 1 g/kg soli (Table 1 and Figure 1) .REFERENCES[1] Abubakar, U. (1999) Studies on the nematodes of cowpea(Vigna unguiculata ) of the savannah region of northernS. Ansari et al. / Agricultural Sciences 3 (2012) 844-847847Nigeria and control of Meloidogyne incognita using se-lected plant extracts and animal manures. Unpublished PhD Thesis, Usman Danfadiyo Sokoto, 108.[2]Janes, H.W. (1994) Tomato production in protected culti-vation. Encyclopedia of Agricultural Science, 4, 337- 349.[3]Lamberti, F. (1979) Economic importance of Meloido-gyne spp. in sub-tropical and Mediterranean climates. In:Lamberti, F. and Taylor, C.E., Eds., Root-Knot Nematodes(Meloidogyne species), Systematic. Biology and Control,Academic Press, London, 341-357.[4]Taylor, A.L. (1967) Principles of measurement of croplosses: Nematodes. Proceedings of F AO Symposium on Crop Losses, Rome, 2-6 October 1967, 225-232.[5]Siddiqi, M.R. (1986) Tylenchida: Parasites of plants andinsects. Commonwealth Institute of Parasitology, CAB, Wallingford, Oxon, 645.[6]Eisenback, J.D. and Triantaphyllou, H.H. (1991) Root-knot Nematodes: Meloidogyne species and races. In: Nickle, W.R., Ed., Manual of Agricultural Nematology,Marcel Dekker, New York, 281-286.[7]Williamson, V.M. and Hussey, R.S. (1996) Nematodepathogenesis and resistance in plants. 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(1994) Laboratory anual for FusariumResearch. 3rd Edition, Sydney.[14]Rahjoo, V., Zad, J., Javan-Nikkhah, M., Mirzadi-Gohari,A., Okhovvat, S.M., Bihamta, M.R., Razzaghian, J. andKlemsdal, S.S. (2008) Morphological and Molecular identification of Fusarium isolated from maize ears in Iran. Journal of Plant Pathology, 90, 463-468.[15]Riker, A.J. and Riker, R.S. (1936) Introduction to re-search on plant diseases. John’s Swift Co., St. Louis, Chicago, New York and Indianapolis, 117 p.[16]Chawla, M.L. and Prasad, S.K. (1974). Techniques innematology. II. Comparative efficacy of sampling tools and nematode extraction methods. Indian Journal of Nematology, 4, 115-123.[17]Hartman, K.M. and Sasser, J.N. (1985) Identification ofMeloidogyne species by differential host test and perinealpattern morphology. In: Barker, K.R., Carter, C.C. and Sasser, J.N., An Advanced Treatise on Meloidogyne,Methodology, 2, Coop. Publ. Dep. Plant Pathol., N.C.State University, and U.S. Ageney Int. Dev., Raleigh, inpress, 69-77.[18]Jones, J.P., Jones, J.B. and Miller, W. (1982) Fusariumwilt on tomato. Fla. Dept. Agric. & Consumer Serv., Div.of Plant Industry. Plant Pathology Circular No. 237. [19]Smith, I.M., Dunez, J., Phillips, D.H., Lelliott, R.A. andArcher, S.A. (Eds.) (1988) European handbook of plant diseases.Blackwell Scientific Publications, Oxford,1-583.doi:10.1002/9781444314199[20]Walker, J. C. (1952). Diseases of vegetable crops. Mc-Graw-Hill Book Company, Inc., New York, 190-191. [21]Holliday, P. (1970) Fusarium oxysporum f. sp. batatas.CMI Descriptions of Pathogenic Fungi and Bacteria No.212. 1 p.[22]Barker, K.R., Shoemaker, P.B. and Nelson, L.A. (1976)Relationship of initial population densities of Meloi-dogyne incognita and M. hapla to yield of tomato. Jour-nal of Nematology, 8, 232-239.[23]Di Vito, M. and Ekanayake, H.M.R.K. (1983). Relation-ship between population densities of Meloidogyne incog-nita and growth in resistant and susceptible tomato.Nematologia Mediterranea, 11, 151-155.[24]Haseeb, A., Sharma, A. and Shukla, P.K. (2005) Effect ofinitial inoculum levels of Meloidogyne incognita on root-knot development and growth of Vigna radiata cv. ML- 1108. Indian Journal of Nematology, 35, 93-94.doi:10.1631/jzus.2005.B0736。
G lutamate transporters limit the extracellular concentra-tion of glutamate ([Glu]o ) utilizing Na ϩelectrochemical gra-dient as a driving force. Under physiological conditions, re-leased glutamate in the synaptic cleft is transported into in-tracellular space by the glutamate transporters.1—8)Substan-tial loss of glutamate uptake activity has been reported in some chronic neurodegenerative disorders including amy-otrophic lateral sclerosis 9)and Alzheimer’s disease.10,11)When the intracellular Na ϩmilieu is disturbed upon cerebral ischemia, the transporter functions in a reverse direction to release glutamate to neurotoxic levels.1,12—14)Therefore, con-trolling the function of glutamate transporter is a potential therapeutic strategy for neuronal diseases.15)Nicergoline, a derivative of ergot alkaloid, is an ameliora-tor of cerebral circulation and metabolism.16—24)In addition to enhancement of cholinergic 25—28)and dopaminergic trans-missions in the brain,29)protective actions of nicergoline against anoxic and/or ischemic brain damage and neuronal cell death are reported in several cerebral ischemic ani-mals.18—20,30)A recent study showed the neuroprotective ac-tion and the reduction of [G lu]o by nicergoline in ischemic rat brains.31)Another ergort alkaloid, bromocriptine, was shown to enhance the glutamate transport activity.11)In order to examine the effects of drugs on the uptake and reversed transport mediated by glutamate transporters, we previously developed an assay system in which extracellular glutamate concentration was measured in the synaptosome prepa-ration.32)In the present study, in order to understand the mecha-nisms of action of nicergoline to reduce [Glu]o , we examined its effect on the glutamate transport activity in rat cortical synaptosomes as well as on cloned glutamate transporters.MATERIALS AND METHODSAnimals All experiments were performed in accordance with the regulations of the Animal Ethics Committee ofTANABE Seiyaku Co., Ltd. Male Wistar strain rats weighing 200—400g were used for preparation of crude synaptosomal fractions. Xenopus laevis (20—30months old) were used for preparation of oocytes.Synaptosomal Preparation Crude synaptosomal frac-tions were prepared following the standard procedures.33)Rats were anesthetized with ether, and whole brains were re-moved after decapitation. The cerebral cortex, isolated under an ice-cold condition, was homogenized in a 5-fold volume of 0.32M sucrose. The homogenate was centrifuged at 1500ϫg for 10min, and the supernatant was centrifuged at 9000ϫg for 20min. The pellet (P2 fraction) was suspended in 0.32M sucrose solution again and centrifuged at 9000ϫg for 20min. The above procedures were carried out at 4°C.The pellet was resuspended in 0.32M sucrose, and used as a crude synaptosome preparation in the following experiments after determining the protein content. Protein content of the crude synaptosome preparation was 5.71Ϯ0.18mg/ml (mean ϮS.E., n ϭ15). This preparation contained not only intra-synaptosomal glutamate, but also a small amount of ex-tracellular glutamate. The glutamate in the synaptosomal preparation was of intrinsic origin.Determination of Extracellular Glutamate in Synapto-somal Preparation Glutamate transporters mediate the up-take and the reversed transport of glutamate depending on both the electrochemical gradient of co-transported Na ϩ/counter-transported K ϩand the temperature.34)Synapto-somes were incubated at 37°C in standard HEPES buffered saline (HBS) medium containing 140.0m M NaCl, 5m M KCl,5.0m M NaHCO 3, 1m M MgCl2, 0.12m M Na 2SO 4, 10m M glu-cose, and 20m M HEPES (pH 7.4). Fifty microliters of the crude synaptosome preparation was added to 1ml of HBS or low Na ϩmedium prepared by substituting Na ϩwith choline.The synaptosomes in each medium with or without drugs were kept on ice until the start of the reaction. After incuba-tion at 37°C for up to 6min, the transport reaction was ter-minated by immediately transferring the incubation tube into∗To whom correspondence should be addressed.e-mail: bon@tanabe.co.jp© 2004 Pharmaceutical Society of JapanNicergoline Enhances Glutamate Uptake via Glutamate Transporters in Rat Cortical SynaptosomesAtsushi N ISHIDA ,*,a Hiroshi I W ATA ,b Yukitsuka K UDO ,c Tsutomu K OBA Y ASHI ,a Yuzo M ATSUOKA ,a Y oshikatsu K ANAI ,d and Hitoshi E NDOU daDiscovery and P harmacology Research Laboratories, Tanabe Seiyaku Co., Ltd.; 2–2–50 Kawagishi, Toda, Saitama 335–8505, Japan: b P roduct Management Department, P harmaceuticals Marketing Headquarters, Tanabe Seiyaku Co.,Ltd.; 3–2–10 Dosho-machi, Chuo-ku, Osaka 541–8505, Japan: c Brain Function Research Institute, Inc., c/o National Cardiovascular Center; 5–7–1 Fujishiro-dai, Suita, Osaka 565–0873, Japan: and d Department of P harmacology and Toxicology, Kyorin University School of Medicine; 6–20–2 Shinkawa, Mitaka, Tokyo 181–8611, Japan.Received November 28, 2003; accepted February 18, 2004To elucidate the mechanisms of neuroprotective action of nicergoline, we examined its effect on glutamate transport in rat cortical synaptosomes and cloned glutamate transporters. In synaptosomes, nicergoline en-hanced the glutamate uptake at 1—10m M in standard medium and suppressed the increase of extracellular glu-tamate by reversed transport in low Na ؉medium. Apparent increase of extracellular glutamate concentration by dihydrokinate, an inhibitor of glial glutamate transporter GLT-1, was antagonized by nicergoline. In Xenopus oocytes expressing mouse neuronal glutamate transporter (mEAAC1), the glutamate-induced inward current was enhanced by nicergoline. These results suggest that nicergoline reduces the extracellular glutamate concen-tration through its effect on glutamate transporters.Key wordsglutamate transporter; nicergoline; glutamate uptake; glutamate reversed transport; synaptosome; Xenopus oocytean ice-cold water bath. Then, the synaptosomes were cen-trifuged at 9000ϫg for 20min at 4°C, and the supernatants were stocked at Ϫ80°C until the measurement of glutamate contents. The concentration of glutamate in the supernatants was determined using the glutamate dehydrogenase-NADP method.35)Xenopus Oocytes mRNA was in vitro transcribed from linearized pBluescript II SK (Ϫ) vector or pSP64poly(A)vector (Stratagene) containing the coding region of mEAAC1 (mouse EAAT -3) using T7 RNA polymerase (Stratagene). The Xenopus laevis oocytes were isolated by partial ovariectomy. After mild digestion with collagenase and defolliculation, oocytes were injected with cRNA solu-tions using a Drummond automatic injector Nanoject 203-VX (Drummond Scientific Company, U.S.A.). The injected volume was 50nl/oocyte containing 30—80ng of the cRNA.The oocytes were incubated at 18°C in ND 96 solution (96m M NaCl, 2m M KCl, 1.8m M CaCl 2, 1m M MgCl 2, 5m M HEPES, 2.5m M Na-pyruvate, 0.5m M theophylline, pH 7.5with NaOH) containing penicillin (100U/ml), streptomycin (100m g/ml) and gentamicin (50m g/ml).Electrophysiology Two to 10days after injection, oocytes were immersed in a normal external solution (NES) contain-ing 96m M NaCl, 2m M KCl, 1.8m M CaCl 2, 1m M MgCl 2, and 5m M HEPES, pH 7.5, and analyzed using the two-microelec-trode voltage-clamp method at room temperature (22—23°C). The microelectrodes were filled with a 3M KCl solu-tion, and their resistances were 0.5—2M W . The membrane potential of an oocyte placed in a tissue chamber was clamped at Ϫ60mV . Glutamate was applied to the bath, and the substrate-evoked inward current was recorded by a recording amplifier (GeneClamp 500, Axon Instruments Inc.,U.S.A.). The effect of nicergoline was studied on the inward current induced by 10m M glutamate in mEAAC1-expressing oocytes. The response of currents to a high concentration of glutamate (30m M ) was determined in each oocyte before-hand.Chemicals The following materials were of reagent grade and obtained from commercial sources: HEPES (Nacalai Tesque Co., Ltd, Tokyo, Japan), glutamate dehydro-genase, NADP , collagenase, theophylline, penicillin, strepto-mycin, gentamicin (Sigma Chemicals Co., Ltd., St. Louis,MO, U.S.A.), dihydrokainic acid (DHK), bromocriptine (Tocris Cookson Inc., St. Louis, MO, U.S.A.). Nicergoline was provided by Pharmacia & Upjohn (Tokyo, Japan).RESULTSIn synaptosome preparations, [Glu]o was reduced in stan-dard HBS medium ([Na ϩ]o ϭ145.2m M ) and increased in low Na ϩmedium by incubation for 6min at 37°C. The difference of the glutamate concentration before and after 37°C incuba-tion was expressed as D [Glu]o (m M ) {([G lu]o after incuba-tion)Ϫ([Glu]o before incubation)}. “Positive” values of D [Glu]o represent the increase whereas “negative” values represent the decrease of glutamate outside of synaptosomes.The [Na ϩ]o ϪD [Glu]o curve was shifted downwardly by nicergoline (Fig. 1). Namely, nicergoline enhanced the reduc-tion of [Glu]o in standard HBS medium and reduced the ele-vation of [Glu]o in low Na ϩmedium. However, the effect at the lowest Na ϩconcentration ([Na ϩ]o ϭ5.24m M ) was not sig-nificant (Fig. 1).The reduction of [G lu]o by nicergoline in the standard HBS medium was concentration-dependent at doses between 1 and 10m M . In contrast, the concentration–response rela-tions in the low Na ϩmedium ([Na ϩ]o ϭ16.4m M ) were statis-tically significant only at 1m M , and formed a bell shaped curve (Fig. 2). In the same preparations, bromocriptine, an ergot alkaloid, had not effect [Glu]o (Fig. 3).DHK, a selective inhibitor of glial glutamate transporter GLT -1,32,33)suppressed the reduction of [Glu]o in a standard HBS medium and enhanced the elevation of [G lu]o in low Na ϩmedium ([Na ϩ]o ϭ16.4m M ). Nicergoline at 1m M antago-nized both effects of DHK (Fig. 4).In oocytes expressing mEAAC1, inward current was evoked by perfusion of glutamate in the recording chamber.818V ol. 27, No. 6Fig.2.Effects of Nicergoline on D [Glu]o in Standard HBS Medium and Low Na ϩMediumLow Na ϩmedium was prepared by substitution of Na ϩwith choline from 145.2 to 16.4m M . Each point represents the mean ϮS.E. of 6 experiments. ∗∗p Ͻ0.01 vs.con-trol, comparison by one-way ANOV A with randomized complete block, followed by multiple comparison (Tukey–Kramer’s method).parison of the Effects of Nicergoline and Bromocriptine on D [Glu]oLow Na ϩmedium was prepared by substitution of Na ϩwith choline from 145.2 to 16.4m M . Each column represents the mean ϮS.E. of 6 experiments. ∗p Ͻ0.05,∗∗p Ͻ0.01 vs.control, comparison by one-way ANOV A with randomized complete block, followed by multiple comparison (Tukey–Kramer’s method).Fig.1.Effects of Nicergoline on [Na ϩ]o ϪD [Glu]o CurveEach point represents the mean ϮS.E. of 5 experiments. ∗p Ͻ0.05, ∗∗p Ͻ0.01 vs.control by paired t -test.DISCUSSIONIncubating a synaptosome preparation at 37°C decreased or increased the [G lu]o depending on the concentration of Na ϩin the medium. D [Glu]o is reversed from negative to positive values when the extracellular Na ϩconcentration is decreased to ϳ30m M .32)Because these processes are highly sensitive to temperature but not dependent on Ca 2ϩ, it is pro-posed that the reduction and the elevation mainly reflect the uptake into and reversed transport from synaptosomes, re-spectively. The uptake of glutamate by the transporters re-quires sufficient concentration of Na ϩ, whereas the reversed transport becomes dominant in low Na ϩmedium. The direc-tion and the magnitude of D [Glu]o appeared to be determined by a balance of the uptake and reversed transport. D [Glu]o was reduced by nicergoline under both standard and low Na ϩconditions.Both neuronal and glial transporters participate in the con-trol of extracellular glutamate concentration. [Glu]o was de-creased due to the uptake by both transporters in the standard HBS medium. Because the intracellular concentration of glu-tamate is high (1m M ) in neurons, neuronal glutamate trans-porters are assumed to function in the reverse direction be-fore glial transporters do when Na ϩhomeostasis is disruptedin brain ischemia or under anoxic conditions. DHK, a selec-tive inhibitor of glial G LT -1 glutamate transporter,36,37)sup-pressed the decrease of [Glu]o in standard HBS medium and enhanced the elevation of [Glu]o in low Na ϩmedium.32)The increase of D [Glu]o by DHK in low Na ϩmedium indicates the existence of uptake via glial glutamate transporter GLT -1even under the low Na ϩcondition.The DHK-induced increase of [G lu]o is suppressed by nicergoline in both standard HBS and low Na ϩmedia. Gluta-mate transporters work mainly in the forward direction (up-take) in the standard HBS medium and in the reverse direc-tion in the low Na ϩmedium. The concentration-dependent effect of nicergoline was more pronounced in standard HBS medium than in low Na ϩmedium. However, there was no re-duction of D [Glu]o by nicergoline at the lowest Na ϩconcen-tration. When Na ϩconcentration is 5.24m M GLT -1 does not uptake extracellular glutamate. Thus, nicergoline reduces [Glu]o by enhancing the uptake rather than inhibiting the re-versed transport of glutamate.Bromocriptine was reported to enhance the uptake of glu-tamate by human G luT -115,38)stably expressed in HeLaS3cells. GluT -1 is a subtype of glutamate transporters expressed predominantly in cerebellum 39)among brain regions. We used synaptosome from rat cerebral cortex without cerebel-lum. In this study, bromocriptine failed to enhance the uptake of glutamate; this lack of effect may have been due to low abundance of GluT -1 in the preparation.In order to further confirm the effect of nicergoline on glu-tamate transporters, we determined the effect on cloned neu-ronal transporter EAAC1. We used mouse EAAC1 that was 97% homologous at the amino acid level with rat EAAC1.Nicergoline increased the glutamate-induced current medi-ated by EAAC1. Although we also attempted to examine the effect of nicergoline on cloned glial transporter encoded by G LT -1, the glutamate-induced current mediated by G LT -1was too small to make this evaluation. It has been reported that glutamate transporter is regulated by transporter-associ-ated proteins.40)Thus, inhibition of the function of the asso-ciating protein may result in the enhancement of the gluta-mate transport. Although the mechanisms behind the action of nicergoline remain unclear at this moment, it is possible that nicergoline acts on the transporter-associated protein to enhance the transport function.In this study, we showed the enhancement of neuronal glu-tamate transport by nicergoline in both oocytes expressing mEAAC1 and synaptosomes in the presence of DHK. Al-though the function of EAAC1 was changed from uptake to reversed transport in lower Na ϩcondition, the uptake was en-hanced by nicergoline except for the lowest Na ϩconcentra-tion. Therefore, we propose that nicergoline acts on both glial and neuronal glutamate transporters.Extracellular concentration of glutamate is crucial for the development of neuronal damage following ischemia.1,12—14)Enhancement of glutamate uptake by nicergoline may, at least in part, contribute to the reduction of glutamate concen-tration in the brain which results in ischemia. The synapto-some prepared from rat cerebral cortex includes at least two subtypes of glutamate transporters, EAAC1 and G LT -1.Human EAAC1 and human GLT -1 are 90% and 91% homol-ogous at the amino acid level with rat EAAC1 and rat GLT -1,respectively. Thus it is reasonable to speculate that a similarJune 2004819Fig.4.Effects of Nicergoline and DHK on D [Glu]oLow Na ϩmedium was prepared by substitution of Na ϩwith choline from 145.2 to 16.4m M . Each column represents the mean ϮS.E. of 4 experiments. ∗p Ͻ0.05,∗∗p Ͻ0.01 vs.control, ##p Ͻ0.01 vs.DHK-treatment, comparison by one-way ANOV A with randomized complete block, followed by multiple comparison (Tukey–Kramer’s method).Fig.5.Effects of Nicergoline on the Inward Currents Induced by 10m M Glutamate in Xenopus Oocytes Expressed EAAC1(A) T ypical current trace recorded from an EAAC1-expressing oocyte at a holding potential of Ϫ60mV in the presence of various concentrations of nicergoline. The ratio of effects by vehicle, 30m M and 100m M nicergoline were 98.0%, 109.9% and 124.2%,respectively. (B) The current after application of nicergoline is expressed relative to the current evoked by glutamate alone. For a concentration of 0m M , only the vehicle (5ϫ10Ϫ4N HCl) was applied. Each column represents the mean ϮS.E. of the numbers indicated in parentheses. ∗p Ͻ0.05, ∗∗p Ͻ0.01 vs.control by Student’s t -test. The sol-vent (HCl 5ϫ10Ϫ4N ) only slightly reduced the inward current. Nicergoline significantly increased the glutamate-induced inward current in a concentration-dependent manner (Fig. 5).effect of nicergoline can be expected in both rodents and hu-mans.The concentration of nicergoline in the central nervous system at a clinical dosage (15mg/day) is expected to reach sub microM order, which is comparable to the effective con-centration in the present study. Nicergoline reduces [Glu]o inthe brain and protects brain damage by ischemia in rats.31) Thus, the demonstration of transporter-modulating activity warrants consideration of a clinical neuroprotective effect of nicergoline.Acknowledgments We thank Professor Shigenobu Nakamura and Dr. Hideshi Kawakami, Hiroshima University, for their valuable advice on this work. 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AMA1021SD IP-DSLAM System Installation GuideGuideClass: UserProduct Name: AMA1021SDProduct Version: H.W. 7.0Doc. No.: BCD3-TM-E-120003Doc. Version: 2.4Publish Date: 2007-10-23THE SPECIFICATIONS AND INFORMATION REGARDING THE PRODUCTS IN THIS MANUAL ARE SUBJECT TO CHANGE WITHOUT NOTICE. ALL STATEMENTS, INFORMATION, AND RECOMMENDATIONS IN THIS MANUAL ARE BELIEVED TO BE ACCURATE BUTARE PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USERS MUST TAKE FULL RESPONSIBILITY FOR THEIR APPLICATION OF ANY PRODUCTS.THE SOFTWARE LICENSE AND LIMITED WARRANTY FOR THE ACCOMPANYING PRODUCT ARE SET FORTH IN THE INFORMATION PACKET THAT SHIPPED WITH THE PRODUCT AND ARE INCORPORATED HEREIN BY THIS REFERENCE.NOTWITHSTANDING ANY OTHER WARRANTY HEREIN, ALL DOCUMENT FILES AND SOFTWARE OF THESE SUPPLIERS ARE PROVIDED “AS IS” WITH ALL FAULTS. PRODUCT AND THE ABOVE-NAMED SUPPLIERS DISCLAIM ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, THOSE OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OR ARISING FROM A COURSE OF DEALING, USAGE, OR TRADE PRACTICE.IN NO EVENT SHALL PRODUCT OR ITS SUPPLIERS BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL DAMAGES, INCLUDING, WITHOUT LIMITATION, LOST PROFITS OR LOSS OR DAMAGE TO DATA ARISING OUT OF THE USE OR INABILITY TO USE THIS MANUAL, EVEN IF PRODUCT OR ITS SUPPLIERS HA VE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.AMA1021SD IP-DSLAMSystem Installation GuideText Part Number: 1200-0324Table of ContentsChapter 1Preface (1)Purpose (1)Organization (1)Conventions (1)Chapter 2Product Overview (3)Introduction to the AMA1021SD (3)Features (4)Field Applications (5)Service Applications (5)AMA1021SD System Overview (6)Front View (6)Rear View (8)Side View (8)Alarm I/O Module (9)System Management (9)Chapter 3Preparing for Installation (11)Safety Requirements (11)Safety Guidelines (11)Preventing Electrostatic Discharge Damage (14)General Maintenance Guidelines (14)Site Requirements (15)Environmental Requirements (15)Power (16)Cabling (17)Rack Mounting (17)Tools and Equipment Required (18)Unpacking the AMA1021SD System (18)Verifying Contents (19)Inspecting for Damage (19)Chapter 4Installing the AMA1021SD (21)Installation Checklist (21)AMA1021SD System Installation Procedures (21)Measure Rack Space (21)Install the AMA1021SD Box Chassis (22)Connecting a Console (22)Connecting the RJ-21 Subscriber Line Interface (23)Connecting the RJ-45 Network Uplink Interface (25)Attach and Apply Power (26)Attach the Earth Ground (27)Chapter 5System Specifications (29)Hardware Specification (29)Software Specification (31)AMA1021SD IP-DSLAMSystem Installation GuideList of FiguresFigure 2-1Internet Service Illustrate (5)Figure 2-2AMA1021SD Link Aggregation Illustrate (5)Figure 2-3AMA1021SD Stacking Illustrate (6)Figure 2-4AMA1021SD Service Provider Demarcation Illustrate (6)Figure 2-5AMA1021SD Front Panel (7)Figure 2-6AMA1021SD Rear View (8)Figure 2-7Left-hand Side View (8)Figure 2-8Right-hand Side View (8)Figure 3-1AMA1021SD Ventilation Control Diagram (15)Figure 3-2AMA1021SD Cabling Diagram (17)Figure 3-3AMA1021SD Mounting Diagram (17)Figure 4-1Install the AMA1021SD Box Chassis (22)Figure 4-2RJ-45 to DB-9-female Adapter cable for Console Management (22)Figure 4-3AMA1021SD Console Port Management Cabling (23)Figure 4-4Rear Panel RJ-21 Connector Cabling for AMA1021SD (24)Figure 4-5Front Panel RJ-45 Network Uplink Cabling for AMA1021SD (25)Figure 4-6Front Panel mini-GBIC Network Uplink Cabling for AMA1021SD (25)Figure 4-7Front Panel AC Power Connection for AMA1021SD (26)Figure 4-8Earth Ground of AMA1021SD (27)Figure A-1RJ-21 Connector (33)Figure A-2RJ-45 GE Connector (35)Figure A-3RJ45 to DB-9 Adaptor (36)AMA1021SD IP-DSLAMSystem Installation GuideList of TablesTable 2-1AMA1021SD Front Panel LED Status (7)Table 2-2AMA1021SD Front Panel Connector (7)Table 2-3Alarm I/O Relay Pin Description (9)Table 3-1CO Operating Environment Requirements (15)Table 3-2System Air-Flow Specification (16)Table 3-3Installation Tools Lists (18)Table 4-1Installation Checklist (21)Table 4-2AMA1021SD Console Management Setting (23)Table 5-1AMA1021SD System Specification (29)Table 5-2AMA1021SD Software and Management Specification (31)Table A-1RJ-21 Connector Pin Assignment (33)Table A-2Telco Color Chart Mapping Table (34)Table A-3RJ-45 GE Connector Pin Assignment (35)Table A-4RJ45 to DB-9 Pint Assignment (36)Table B-1Abbreviations and Acronyms Table (37)AMA1021SD IP-DSLAMSystem Installation GuideThis page is leave in blank for note or memo useAMA1021SD IP-DSLAMSystem Installation GuidePreface 1 Chapter 1 PrefaceThis preface discusses the following topic:z Purposez Organizationz ConventionsPurposeThe purpose of this guide is to provide detailed information and description of AMA1021SDIP-DSLAM, which includes both software and hardware architecture and other specific features.OrganizationThis guide contains the following information:y Prefacey Product Overviewy Preparing for Installationy Installing the AMA1021SDy System Specificationsy AppendixConventionsThis section describes the conventions used in this guide.This sign indicates the NOTICE. A note contains helpful suggestions or reference relay on the topicalsubjects.This sign indicates the TIP. Performing the information described in the paragraph will help yousolve a problem. The tip information might not be troubleshooting or even an action, but could beuseful information.This sign indicates the CAUTION. In this situation, you might do something that could result inequipment damage or loss of data.This sign indicates the DANGER. You are in situation that could cause bodily injury. Before youwork on any equipment, you must be aware of the hazards involved with electrical circuitry andbe familiar with standard practices for preventing accidents.AMA1021SD IP-DSLAMSystem Installation Guide2 PrefaceThis page is leave in blank for note or memo useAMA1021SD IP-DSLAMSystem Installation GuideChapter 2 Product OverviewThis chapter provides an overview of the AMA1021SD IP-DSALM (Digital Subscriber line AccessMultiplexer) and the service application overview. This chapter contains the following sections:z Introduction to the AMA1021SDz AMA1021SD System Overviewz Alarm I/O Modulez System ManagementIntroduction to the AMA1021SDAMA1021SD IP-DSLAM is a revolutionary product with capabilities to interface directly withevolving IP network in a cost effective manner. The Gigabit Ethernet Network uplink interfaces on theAMA1021SD IP-DSLAM can directly connect to an Internet router or LAN Switch.The AMA1021SD comes in compact size (1.2U high) and can be used as desktop unit or can bemounted on the rack. It can be fitted on rack with 19 inches in width and 23 inches in depth throughthe optional rack mount-kit.The AMA1021SD is an advanced IP based DSLAM that can be used by service providers to offerbroadband multi-service features on the last mile access network on copper based local loop, it offersADSL, ADSL2, and ADSL2+ interfaces and delivers advanced IP services that include QoS, multicast,subscriber management. These service features prevent clogging and congestion of the bandwidthavailable to the users allowing smooth, easy and efficient passage of video, voice and data packetsacross the networks, which also enables operators to increase their revenues and maximize their profitsmanifold.The feature rich design make AMA1021SD the most economical and suitable solution for nextgeneration broadband access platforms. It provides among other advantages easy maintenance andeasy installation, which in turn reduces operating cost and network down time to the service providers.The AMA1021SD has 48 ADSL Subscriber ports and Network uplink interfaces consists of 2 pairs ofGigabit Ethernet and mini-GBIC. Using various uplink settings, it is possible to stack theAMA1021SD units and aggregate multiple units over a common network connection.AMA1021SD IP-DSLAMSystem Installation GuideFeaturesAMA1021SD IP-DSLAM is designed to meet with industry standards in functionality, performance,and reliability. As a compact IP-DSLAM platform, AMA1021SD can provide ADSL service for 48users over existing PSTN telephone wiring. More detailed features are listed below:Hardware Features:y Pizza box type supports 48 ADSL ports and build-in POTS splitter equipped availabley Cost effective access solution for always on high-speed Internet service applicationy Existing twisted pair telephone line via POTS splitter/Low-Pass-Filter, it means ADSL and telephone services can be provided concurrentlyy Support service capacity expansion via units stackingy Two pair of 10/100/1000 Ethernet and mini-GBIC uplink Network uplink interfacesy Support non-blocking switching fabric and Wire-speed switching capabilityy Alarm input IOSoftware Features:y Local system configuration and management through RS-232 consoley Remote system configuration and management using Telnet or Web-browsery Embedded SNMP v1, v2c management agent with standard MIB-IIy Support TFTP/HTTP firmware upgradey Support Subscriber traffic isolation among ADSL line portsy Support RFC 2684 multi-protocol over AAL5y Support RFC 2516 PPPoE packet forwardingy Support QoS for IEEE 802.1p priority queuesy Support Subscriber rate limitingy Support IEEE 802.1Q VLAN taggingy Support IEEE 802.1ad VLAN stacking and VLAN translationy Manually configurable mapping between VLAN tag and ATM PVCy Support IEEE 802.1D/w spanning tree bridging between Network uplink interfacey Support IGMP snooping and GMRPy Support OAM F5 fault diagnosticy Support MAC address access controly Support IP packet filteringy Support IEEE 802.3ad link aggregation on Network uplink interfaceAMA1021SD IP-DSLAMSystem Installation GuideField ApplicationsThis section contains the most popular application scenarios for AMA1021SD IP-DSLAM, and helpsoperator to understand how to implement and service with it.Internet ServiceWith the ADSL CPE connecting to AMA1021SD, IP traffic will be managed and monitored to ensurethe connection quality.AMA1021SD IP-DSLAM has ability to transport traffic with a variety of protocols from ADSL CPEor end user PC to service applications such as PPPoE (RFC 2516), RFC 2684 Bridge, and L2TP, L2F,PPTP, IP-Sec. tunneling.Figure 2-1 Internet Service IllustrateAMA1021SDService ApplicationsThis section describes various usages of AMA1021SD IP-DSLAM.Uplink AggregationThe AMA1021SD supports Network uplink aggregation complied in IEEE 802.3ad standard, thisallow operator to configure both of AMA1021SD GE uplink interfaces in a single logical interface toextending the bandwidth transmission.Figure 2-2 AMA1021SD Link Aggregation IllustrateAMA1021SDStacking ApplicationThe AMA1021SD supports stacking via GE uplink interface; all units will share a single source.Figure 2-3 AMA1021SD Stacking IllustrateAMA1021SDService Provider DemarcationThe AMA1021SD has ability to separate the traffics where it belongs by assigning different VLAN ID,the GE uplink of AMA1021SD could be operated as individual interface of another.Figure 2-4 AMA1021SD Service Provider Demarcation IllustrateAMA1021SDAMA1021SD System OverviewAMA1021SD IP-DSLAM is built in 1.96 inch (1.2 U) high, 10.2 inch (26 cm) deep, and 17.7 inchwide (23 inch bracket available) compact design. Pluggable build-in splitter is optional.Front ViewThe Figure 2-5 shows the front panel of the AMA1021SD IP-DSLAM.Figure 2-5 AMA1021SD Front PanelThe Table 2-1 shows the LED status of the AMA1021SD IP-DSLAM.The Table 2-2 shows the front panel connector description of the AMA1021SD IP-DSLAM. Table 2-1 AMA1021SD Front Panel LED StatusLED State FunctionPower LEDPowerGreen solid System power normalfaultOff CardALarm LEDAlarmRed on Fan alarm or temperature alarmOrange There is alarm happened from alarm input ports DSL Status LED (port 1 ~ port 48)1 ~ 48Green slow blinking ADLS port enableGreen fast blinking Training with CPEGreen solid per port The ADSL link is currently connectEth-1/Eth-2Upper LED Orange Solid on Ethernet interface is activateGreen Solid on Fiber interface is inactivateLower LED Green Solid on Interface is linkTable 2-2 AMA1021SD Front Panel ConnectorConnector DescriptionsGE1/GE2 10/100/1000 Ethernet interface or mini-GBIC optical interface.Magagement Management Ethernet interface to provide out-band management.Console RJ-45 serial interface to provide command line environment.Alarm I/O Provide external or internal operation alarm.Line – J1 The 1 ~ 24 ADSL port connect to subscriber lineLine – J2 The 25 ~ 48 ADSL port connect to subscriber linePhone – J1 The 1 ~ 24 voice port connect to PSTNPhone – J2 The 25 ~ 48 voice port connect to PSTNRear ViewThe Figure 2-6 shows the rear panel of the AMA1021SD IP-DSLAM.Figure 2-6 AMA1021SD Rear ViewThe equipment has provision for a permanently connected Protective Earthing Conductor.Side ViewThe Figure 2-7 shows the Left-hand Side view of the AMA1021SD IP-DSLAM. Figure 2-7 Left-hand Side ViewThe Figure 2-8 shows the Right-hand Side view of the AMA1021SD IP-DSLAM. Figure 2-8 Right-hand Side ViewAlarm I/O ModuleThe Alarm I/O Module contains alarm I/O relay.Table 2-3 Alarm I/O Relay Pin DescriptionDigital I/O Pin DescriptionOutput Pin (for alarm output receptacle)pinCO CommonNO Circuit with normal open pinNC Circuit with normal close pinInput Pin (for alarm input relay)1 (+),2 (-) First pair of input signal terminal3 (+),4 (-) Second pair of input signal terminal5 (+),6 (-) Third pair of input signal terminal7 (+), 8 (-) Fourth pair of input signal terminalSystem ManagementOperator can provision and manage the AMA1021SD IP-DSALM through the following systemmanagement mode:CLI Ex – Command line management with a local console or Telnet through in-band or out-band IPinterface for CIT (Craft Interface Terminal) connection.Local ManagementThe AMA1021SD provide Ethernet interface for CLI Ex connection at local maintenance andoperation. An RJ-45 to DB-9 can be used to connect AMA1021SD to PC via serial port.IP Network ManagementAMS –The AMA1021SD network interfaces supports out-band management, the M-Eth interfaceassociates with SNMP (Simple Network Management Protocol) v1, and v2c as SNMP agent tocommunicate with remote inquires, all management activities can be performed by SNMP operations.Web-management –Providing control for specific device in the network using HTTP protocol. Itcould be used the Microsoft Internet Explorer to remotely control AMA1021SD products. It providesGUI interface for host (PC) to establish point-to-point communication with remote device.Out-band ManagementThe AMA1021SD provides out-band management through Management Ethernet interface withproper IP address to associate in the Layer 3 networks.This page is leave in blank for note or memo useChapter 3 Preparing for InstallationThis chapter tells you how to prepare for the installation of the AMA1021SD IP-DSLAM.The chapter contains the following sections:z Safety Requirementsz Site Requirementsz Tools and Equipment Requiredz Unpacking the AMA1021SD Systemz Verifying Contentsz Inspecting for DamageSafety RequirementsThis section describes safety requirement of AMA1021SD system. Before you install theAMA1021SD system, ensure that all the criteria in this section are met. The section describes thefollowing safety requirements:y Safety Guidelinesy Preventing Electrostatics Discharge Damagey General Maintenance GuidelinesSafety GuidelinesBefore working on the equipment, be aware of standard safety guidelines and the hazards that areinvolved in working it electrical circuitry to prevent accidents. Adhere to the following cautions andwarnings and those throughout the guide for safe and hazard-free installation.Only trained and qualified personnel should be allowed to install or replace this equipment.Before removing the equipment, disconnect the telephone-network cables to avoid contact withtelephone-network voltages.Do not work on system or connect or disconnect cables during periods of lightning activity.Avoid using a telephone (other than a cordless type) during an electrical storm. There may be aremote risk of electric shock from lightning.Read the power instructions before you connect the system to its power source.For safety reason, the ground wire must connect to safety (earth) ground at supply side of the AC wiring; ensure that the host is connected to earth ground during the normal use.To reduce the risk of electric shock when servicing any individual unit, disconnect the power cord or cords that connect the unit to the AC power strip or DC bus bar.Two people are required to lift the box. Grasp the box underneath the lower edge and lift with both hands. To prevent injury, keep your back straight and lift with your legs, not your back.To prevent bodily injury when mounting or servicing this unit in a rack, you must take special precautions to ensure that the system remains stable. The following guidelines are provided to ensure your safety:y When mounting this unit in a partially filled rack, load the rack from the bottom to the top with the heaviest component at the bottom of the racky If the rack is provided with stabilizing devices, install the stabilizers before mounting or servicing the unit in the rackEthernet cable must be shielded when used in a central office environment.This unit is intended for installation in restricted access areas, A restricted access area is where access can only be gained by service personnel through the use of a special tool, lock and key, or other means of security, and is controlled by the authority responsible for the location.To reduce the risk of fire, use only No. 36 AWG or larger telecommunication line cord.Use copper conductors only.Never touch un-insulated telephone wires or terminals unless the telephone line has been disconnected at the network interface.Use caution when installing or modifying telephone lines.Before working on equipment that is connected to power lines, remove jewelry (including rings, necklaces, and watches). Metal objects will heat up when connected to power and ground and can cause serious burns or weld the metal object to the terminals.To avoid electric shock, do not connect safety extra-low voltage (SELV) circuits to telephone-network voltage (TNV) circuits. LAN ports contain SELV circuits and WAN ports contain TNV circuits. Some LAN and WAN ports both use RJ-45 connectors. Use caution when connecting cables.Ultimate disposal of this product should be handled according to all national laws and regulations.Do not use this product near water; for example, near bath tub, wash bowl, kitchen sink or laundry tub, in a wet basement, or near a swimming pool.Do not use this product near water; for example, near bath tub, wash bowl, kitchen sink or laundry tub, in a wet basement, or near a swimming pool.Never install telephone RJ-21 connector in wet locations unless the connector is specifically designed for wet locations.Do not use a telephone to report a gas leak in the vicinity of the leak.Preventing Electrostatic Discharge DamageElectrostatic discharge (ESD) is a transfer of electrostatic charge between bodies of differentelectrostatic potentials, such as an operator and a piece of electrical equipment. It occurs whenelectronic components are improperly handled, and it can damage equipment and impair electricalcircuitry. Electrostatic discharge is more likely to occur with the combination of synthetic fibers anddry atmosphere.Use an antistatic strap during removing and replacing AMA1021SD units.Always use an ESD ankle or wrist strap and ensure that it makes good skin contact.To properly guard against ESD damage and shocks, the wrist strap and cord must operate effectively.Do not touch any exposed contact pins or connector shells of interface ports that do not have a cableattached. If cables are connected at one end only, do not touch the exposed pins at the unconnectedend of the cable.This equipment is intended for use in residential and commercial environments only.Periodically check the resistance value of the antistatic strap, which should be between 1 and 10megohms (Mohms).General Maintenance GuidelinesThe following maintenance guidelines apply to AMA1021SD system units:Keep the AMA1021SD box area clear and dust-free during and after installation.If you remove the chassis cover for any reason, store it in a safe place.Do not perform any action that creates a hazard to people or makes equipment unsafe.Keep walk areas clear to prevent falls or damage to equipment.Site RequirementsThis section describes requirements for the site in which the AMA1021SD system is to be installed.Before you install the AMA1021SD system, ensure that all the criteria in this section are met. Thesection describes the following:y Environmental Requirementsy Powery Cablingy Rack MountingEnvironmental RequirementsTo have proper operation of the AMA1021SD system depends on a proper environment. This sectiondescribes environmental requirements for the site in which you intend to install the AMA1021SDsystem.Temperature Humidity and AltitudeThe system can tolerate a wide range of temperatures. Table 3-1 shows the recommendation fortemperature, humidity, and altitude conditions in a central office (CO) environment.Table 3-1 CO Operating Environment RequirementsEnvironmental Specifications DescriptionsTemperature -40º to 65ºC – Operating-40º to 70ºC – StorageHumidity 5 to 95% (non condensing)Altitude 0 to 10,000 ft (0 to 3048 m)To prevent the system from overheating, do not operate it in an area that exceeds the maximumrecommended ambient temperature of 45ºC.VentilationThe AMA1021SD fans maintain a suitable operating temperature for the internal circuitry. Ensure thatthe air intake vents at the left side of the box and the air exhaust vents on the right side of the box arenot obstructed in anyway.Figure 3-1 AMA1021SD Ventilation Control DiagramTable 3-2 System Air-Flow SpecificationField DescriptionFan unit 4Air flow 7 (CFM)Air pressure 3 (mmH20)Speed per fan 6000 (RPM)Noise level 26 (dBA)SpaceThe AMA1021SD system fits in either a 19-inch (48.26 cm) wide rack or a 23-inch (58.42 cm) widerack.The AMA1021SD is 1.96 inches in height and 10.2 inches in depth. Depending on your configurationtype, plan accordingly so that the CO rack accommodates your needs.PowerThe AMA1021SD IP-DSLAM using built-in power converter unit, the built-in power converter unit isrequired a VDC power source for it needs. The voltage is from -36 VDC to -72 VDC with powerconsumption of 85W.Before you connect the system to a power source, verify that the power source is properly groundedand that it falls within the internal power supply rating.CablingFor detailed information on the required cables, refer to “Appendix System Connector Pin-Outs”.AMA1021SD CablingThe Figure 3-2 illustrates the AMA1021SD system cabling.Figure 3-2 AMA1021SD Cabling DiagramRack MountingMount your AMA1021SD system in a rack is highly recommend. Ensure that vertical rivet spacing onthe rack rails meets standard EIA-310-C or ETS300 requirements.AMA1021SD fits into a 19 inch wide rack or an ETSI 600 mm wide (23 inch) cabinet by replacing theear bracket.Figure 3-3 AMA1021SD Mounting Diagram.Tools and Equipment RequiredThe Table 3-3 lists the tools and equipment you need to install and remove the AMA1021SD systemcomponents.Table 3-3 Installation Tools ListsCheck Tools and EquipmentHardware ComponentsSystemAMA1021SDDC Power ModuleRJ-45 to DB-9 Female adaptorRJ-45 connector, straight-through 10Bast/100Base-T Ethernet, half/full-duplexcompliant with IEEE 802.3CablesRJ-21TelcoSoftware ComponentsAMS software package (Optional)ToolsA 3/16 inch flat-head screwdriverA Phillips-head screwdriverNecessary equipment for ESD protectionMounting screw – To mount the AMA1021SD system to the rackTiewrapsUnpacking the AMA1021SD SystemEach AMA1021SD system units is securely packaged in a shipping box.To unpack the AMA1021SD units, complete the following steps:Step 1Inspect the packing containers.If any damage or other signs of mishandling are evident, inform both the localfreight carrier before unpacking. Your freight carrier can provide you with theprocedures necessary to file a claim for damages.Step 2Carefully open the box.Step 3Remove all packing material.Step 4Remove the unit form the box.Step 5 Open the accessory kits and boxes that contain the cables, documentation, andmanagement software. Do not use a knife to open these boxes.Verifying ContentsTo verify that your shipment is complete, make sure that you received everything on your packing list,and then compare your packing list to your order. If any items are missing or you need additionalinformation, contact your local supporter.Inspecting for DamageAfter you verify that all of the equipment is included, carefully examine the assemblies, units andcables for any damage resulting from shipping. If you suspect any damage form shipping, contact yourlocal freight carrier for procedures on damage claims.If you observe any physical defects in the items you ordered, obtain standard warranty service bydelivering the defective part to your local supporter during the applicable warranty period.This page is leave in blank for note or memo useChapter 4 Installing the AMA1021SDThis chapter describes how to install the AMA1021SD IP-DSLAM.This chapter contains the following sections:z Installation Checklistz AMA1021SD System Installation ProceduresInstallation ChecklistThe Table 4-1 lists the task to be completed when installing the AMA1021SD IP-DSLAM. Table 4-1 Installation ChecklistInstallation Procedures Page NumberUnpack the Shipping Carton 18Setup the Hardware Environments:y Connect the Console port to the PC’s COM port y Configure the PC’s COM porty Connect RJ-21 Telco Cabley Connect RJ-45 Network uplink Interfacey Power on the System 22 22 23 25 26AMA1021SD System Installation ProceduresThis section describes procedures for the site in which the AMA1021SD system is to be installed.The section describes the following:y Measure Rack Spacey Install the AMA1021SD Box Chassisy Connecting a Consoley Connecting the RJ-21 Subscriber Line Interfacey Connecting the RJ-45 Network Uplink Interfacey Attach and Apply PowerMeasure Rack SpaceTo ensure stability of rack, you must install your AMA1021SD system from the bottom to the top ofthe rack. Before you install any of the chassis, measure the total rack space required to install yoursystem. The required rack space depends on the number of AMA1021SD box chassis that you plan touse.The AMA1021SD is 1.96inches in height and 10.2 inches in depth.。
Research paperIn vivo fate of unimers and micellesof a poly(ethylene glycol)-block-poly(caprolactone)copolymerin mice following intravenous administrationJubo Liu,Faquan Zeng,Christine Allen*Department of Pharmaceutical Sciences,University of Toronto,Toronto,Ont.,CanadaReceived 29June 2006;accepted in revised form 1November 2006Available online 23November 2006AbstractMethoxy poly(ethylene glycol)-b -poly(caprolactone)(MePEG-b -PCL)copolymers with varying PEG block lengths and a constant PCL block length were synthesized by cationic ring-opening polymerization and used to form nano-sized micelles.Due to their small size and superior in vitro stability,the MePEG 5000-b -PCL 5000micelles were selected for further in vitro characterization and an in vivo evaluation of their fate and stability following intravenous (i.v.)administration.Specifically,3H-labelled MePEG 5000-b -PCL 5000micelles were i.v.administered to Balb/C mice at copolymer doses of 250,2and 0.2mg/kg in order to examine the distribution kinetics of (1)copolymer assembled as thermodynamically stable micelles,(2)copolymer assembled as thermodynamically unstable micelles and (3)copolymer unimers,respectively.Overall,it was found that when the copolymer is assembled as thermodynamically stable micelles the material is effectively restricted to the plasma compartment.Interestingly,the copolymer was found to have a relatively long circu-lation half-life even when administered at a dose that would likely fall to concentrations below the CMC following distribution.Analysis of plasma samples from this group revealed that even 24h post-administration a significant portion of the copolymer remained assem-bled as intact micelles.In this way,this study demonstrates that the hydrophobic and semi-crystalline nature of the PCL core imparts a high degree of kinetic stability to this micelle system.Ó2006Elsevier B.V.All rights reserved.Keywords:Block copolymer micelle;Poly(ethylene glycol)-block-poly(caprolactone);Drug delivery;In vivo fate;Kinetic stability;Pharmacokinetics;Biodistribution1.IntroductionIn aqueous media,amphiphilic block copolymers self-as-semble to form micelles when the copolymer concentration is at or above the critical micelle concentration (CMC).At concentrations below the CMC the copolymer is present in solution as unimers [1].Hydrophobic (e.g.paclitaxel)or amphiphilic (e.g.amphotericin B)drugs may be incorporat-ed into the copolymer micelles as a means to formulate or deliver these drugs [2–6].These formulations have beenstudied quite extensively with many reports on the in vivo fate of the drug following i.v.administration in micelles [3,6–11].However,only a few studies have examined the in vivo fate of the copolymer micelles [6,12–16]and unimers [6,13,15].Specifically,Burt et al.studied the in vivo fate of paclitaxel and MePEG-b -poly(D ,L -lactide)(MePEG-b -PDLLA)copolymers in rats following i.v.administration of a MePEG-b -PDLLA micelle formulation of this drug [6].The in vivo pharmacokinetics and biodistribution for micelles prepared from tyrosine (Tyr)-PEG-b -PDLLA and tyrosyl-glutamic acid (Tyr-Glu)-PEG-b -PDLLA copoly-mers were also investigated by Kataoka’s group [13].To this point,the effect of the administered copolymer dose on the in vivo behavior of micelles as well as the fate of copolymer unimers and micelles remains relatively0939-6411/$-see front matter Ó2006Elsevier B.V.All rights reserved.doi:10.1016/j.ejpb.2006.11.010*Corresponding author.Department of Pharmaceutical Sciences,Uni-versity of Toronto,19Russell St.,Toronto,Ont.,Canada M5S 2S2.Tel.:+14169468594;fax:+14169788511.E-mail address:cj.allen@utoronto.ca (C.Allen)./locate/ejpbEuropean Journal of Pharmaceutics and Biopharmaceutics 65(2007)309–319unexplored.One of the only studies that has examined the influence of copolymer dose on the distribution kinetics of block copolymers was recently reported by Kabanov’s group[15].Their study evaluated the pharmacokinetics and biodistribution of the PluronicÒtriblock copolymer P85following administration of copolymer concentrations ranging from below to above the CMC of the material after the dilution that occurs upon administration[15].Additional studies on the in vivo behavior and fate of other copolymer unimer and micelle systems are necessary as they will ensure full exploitation of block copolymer micelles as a viable drug formulation strategy.In this study,MePEG-b-PCL copolymers of varying PEG block lengths(i.e.M n=20,000,10,000and5000g/mol)and a constant PCL block length(i.e.M n=5000g/mol)were synthesized,characterized and the physico-chemical prop-erties of micelles formed from this series of copolymers were evaluated.The MePEG5000-b-PCL5000micelle system was selected for an in vivo evaluation of copolymer fate and stability following i.v.administration due to its small size and superior in vitro stability.Specifically,the pharma-cokinetics and biodistribution profiles of the copolymer were evaluated in mice following i.v.administration of three distinct doses of the copolymer.2.Materials and methods2.1.MaterialsMePEGs(M n=5000,M w/M n=1.06;M n=10,000, M w/M n=1.10and M n=20,000,M w/M n=1.10as deter-mined by size-exclusion chromatography(SEC))from Sig-ma–Aldrich(Oakville,ON,Canada)were dried twice by azeodistillation of toluene.The monomer,e-caprolactone (CL),dichloromethane,and toluene were dried using calci-um hydride and distilled prior to use.The tritium(3H) radiolabelled compound acetyl chloride(C H3COCl in dichloromethane)was obtained from America RadioLa-belled Chemicals Inc.(St.Louis,MO)and used without further purification.All other chemicals were obtained from Sigma–Aldrich(Oakville,ON,Canada)and used as received.2.2.Synthesis of MePEG-b-PCL copolymersThe block copolymer was synthesized using a metal-free cationic method[17].A typical procedure for the synthesis of the copolymer was as follows: 1.0g of MePEG (0.2mmol,M n=5000,M w/M n=1.06)was added to a flame-driedflask and dried twice by toluene azeodistilla-tion.A10mL volume of dried dichloromethane and 1.0g of CL(8.76mmol,dried and distilled over calcium hydride)were then added to theflask.0.6mL(1M, 0.6mmol)of the catalyst and hydrogen chloride in diethyl ether was added to the mixture at25°C and the reactor was sealed using a rubber septum.The reaction mixture was maintained overnight with vigorous stirring at this temperature and terminated by the addition of0.1mL tri-ethylamine.The precipitated triethylamine–HCl salt was removed byfiltration and the copolymer was collected by precipitation in ether.The molecular weight of the PCL block was calculated from1H NMR and the known molec-ular weight of the MePEG precursor.1H NMR assign-ments were as follows:signals for the MePEG unit appeared at3.38ppm(3H,CH3–O–)and3.60ppm(4H,–O CH2CH2–);while,signals for the PCL block appeared at 1.35ppm(2H,CO–CH2–CH2–CH2–CH2–CH2–O), 1.55ppm(4H,CO–CH2–CH2–CH2–CH2–CH2–O),2.28ppm (2H,CO–CH2–CH2–CH2–CH2–CH2–O),and4.07ppm(2H, CO–CH2–CH2–CH2–CH2–CH2–O).The composition of the block copolymers was calculated by comparing the rel-ative ratio of the PCL methylene proton signal at4.07ppm to the MePEG ethylene proton signal at3.60ppm[17]. 2.3.Radiolabelling of MePEG-b-PCL copolymerThe radiolabelled block copolymer was synthesized by end-capping the terminus of the PCL block as shown in Scheme1.Specifically,10mg of MePEG-b-PCL,that had previously been dried by toluene azeodistillation,was dis-solved(M n=10,000of5000-b-5000for MePEG-b-PCL, Table1,entry3)in1.0mL of dried THF and charged into aflame-dried glass tube reactor.The triethylamine in THF (1mg)and1mCi of3H-labelled acetyl chloride were then added and left overnight at room temperature.The solvent was removed under vacuum.The triethylamine–HCl salt and unreacted acetyl chloride and its derivatives were removed by dialysis(Molecular weight cut-off, MWCO=1000)against water(Spectrum Laboratories Inc.,Dominguez,CA)and the remaining copolymer was dried by lyophilization.2.4.Characterization of MePEG-b-PCL copolymers1H NMR spectra were obtained using a Mercury400 spectrometer(400MHz for1H,MR Resources Inc.,Fitch-burg,MA)with CDCl3as solvent.Chemical shifts were reported in ppm with CHCl3as the internal standard. SEC measurements were carried out at room temperature using a Waters590liquid chromatography system equipped with three Waters Styragel HR4E columns and a410differ-Scheme1.The3H-labelled MePEG5000-b-PCL5000copolymer was pre-pared using an end-capping method.The three tritium atoms in the methyl group are shown in bold.310J.Liu et al./European Journal of Pharmaceutics and Biopharmaceutics65(2007)309–319ential refractometer as the detector(Waters Inc.,Milford, MA).THF with1%triethylamine was used as the mobile phase at aflow rate of1.0mL/min at40°C.Polystyrene standards(Polysciences Inc.,Warrington,PA)were used to obtain the calibration curve.The data obtained were recorded and manipulated using the Windows-based Mille-nium2.0software package(Waters Inc.,Milford,MA).2.5.Measurement of critical micelle concentrationThe critical micelle concentrations of the MePEG-b-PCL copolymers were determined using an establishedfluores-cence-based method[18].In short,aliquots of MePEG-b-PCL stock solutions in chloroform were added to glass vials such that the concentration of copolymer ranged from0.1 to200mg/L.An aliquot of a hydrophobic probe,DPH (1,6-diphenyl-1,3,5-hexatriene)stock solution was then added to each vial such that the concentration of DPH was maintained at1mg/L in each solution.The solutions were stirred vigorously for4h and the solvent was evapo-rated under nitrogen.The dried vials were heated to60°C and1mL of double distilled water was added slowly to each vial.The solutions were equilibrated by stirring overnight at room temperature followed by measurement of thefluores-cence emission at430nm with excitation at350nm(Spectra GeminiXS dual-scanning microplate spectrofluorometer, Molecular Devices,Sunnyvale,CA).2.6.Preparation of micellesAliquots of stock solutions of block copolymers pre-pared in DMF were added to vials,dried under nitrogen at room temperature and left overnight under vacuum. PBS(0.01M,pH7.4)warmed to60°C was then added to rehydrate each copolymerfilm.The solutions were vor-texed,stirred for72h at room temperature and sonicated for2h prior to use.3H-labelled micelles were prepared from a mixture of the 3H-labelled MePEG5000-b-PCL5000and the unlabelled MePEG5000-b-PCL5000copolymer.2.7.Thermal analysis of micellesThermal analysis of each block copolymer micelle sys-tem was performed on a5–10mg sample of micelles as lyophilized dry powder using a Q100differential scanning calorimeter(DSC)(TA Instruments,Inc.,New Castle, DE).The samples were cooled toÀ70°C using a refriger-ated cooling system and then heated to80°C at a rate of 5°C/min.The data were analyzed using TA universal soft-ware(TA Instruments,Inc.,New Castle,DE)and the melt-ing temperature(T m)was taken to be the peak of the endotherm.2.8.Characterization of micelle size and morphologyThe hydrodynamic diameter of micelles was determined by dynamic light scattering(DLS)at an angle of90°and temperature of25°C(90Plus Particle Size Analyzer, Brookhaven Instruments Corporation;Holtsville,NY). For analysis the samples were diluted to a copolymer con-centration of2mg/mL usingfiltered double distilled water. The morphology of the micelles was evaluated by transmis-sion electron microscopy(TEM)with a Hitachi7000 microscope operating at an acceleration voltage of75kV (Schaumburg,IL).The micelle solutions were diluted in PBS buffer and negatively stained using phosphotungstic acid.The sample solutions were deposited on copper grids that had been pre-coated with carbon and negatively charged.2.9.Evaluation of in vitro stability of micellesThe stability of the block copolymer micelles was evalu-ated in both the absence and presence of physiologically relevant concentrations of bovine serum albumin(BSA). Specifically,the micelle solutions were mixed with equal volumes of PBS(0.01M)in the absence and presence of BSA(45g/L)and incubated at37°C.At various time points,50l L aliquots of the solutions were removed and analyzed by DLS for size measurement(n=3).2.10.In vitro evaluation of protein copolymer interactionsThe interaction between the MePEG5000-b-PCL5000 copolymer unimers and plasma protein was investigated by incubating copolymer with mouse plasma or PBS at 37°C for5h at copolymer concentrations that were10-fold below the CMC.The mixtures were then run through a gel filtration chromatography(GFC)column.Specifically 200l L samples of plasma were run through a Superose6 gelfiltration column(Sigma,Oakville,ON,Canada)withTable1Summary of properties of MePEG-b-PCL copolymers and micellesExp.M n,cal a M n,SEC b M n,NMR c M w/M n CMC(±SD)(l M)CMC(±SD)(mg/L)Micelle size(±SD)(nm) 1MePEG20000-b-PCL500025,00046,50024,800 1.0412.0±0.3299±9115±132MePEG10000-b-PCL500015,00027,80014,600 1.067.6±1.4110±20124±83MePEG5000-b-PCL500010,00012,9009800 1.10 3.2±0.438±656±64MePEG5000-b-AcePCL500010,00012,9009800 1.1049±2a Mn,cal =M n,PEG+M n,PCL;M n,PCL is the calculated molecular weight of the PCL block based on the feed ratio of caprolactone to MePEG.b Mn,SEC is the relative molecular weight as determined by SEC with respect to poly(styrene)standards.c Mn,NMR =M n,PEG+M n,PCL;M n,PCL was calculated from1H NMR analysis.J.Liu et al./European Journal of Pharmaceutics and Biopharmaceutics65(2007)309–319311aflow rate of0.1mL/min and0.01M PBS(pH7.4)as the mobile phase.Two hundred microliter fractions were col-lected from the column and the concentration of copolymer in each fraction was determined by direct scintillation counting(LS6500Liquid Scintillation Counter,Mississau-ga,ON,Canada).The copolymer elution profiles following incubation with plasma or PBS were compared.2.11.Assessment of in vivo stability of radiolabelled micellesA method based on GFC was employed in order to eval-uate the in vivo stability of the MePEG5000-b-PCL5000 micelles in plasma following i.v.administration[13,19,20]. Specifically,the radiolabelled micelle solutions were admin-istered to healthy Balb/C mice(average weight=20g)at total copolymer doses of250and2mg/kg.At specific time points(i.e.1h and24h following i.v.administration),plas-ma was collected and immediately run through a GFC column as described in Section 2.10.Samples of block copolymer micelles and unimers in PBS were also run through the column as controls.2.12.Evaluation of the pharmacokinetics profile and biodistribution pattern of block copolymer unimers and micelles following i.v.administrationThe in vivo fate of the block copolymer,including the pharmacokinetics profile and biodistribution,was investi-gated following i.v.administration of three different doses of copolymer.Studies were performed using female Balb/ C mice of8–10weeks of age with body weights ranging from16to20g.The mice were housed4per cage under standard conditions with access to food and water ad libi-tum.All protocols for these studies were in accordance with the Guide to the Care and Use of Experimental Animals (Canadian Council on Animal Care)and were approved by the Animal Care Committee at the University of Toron-to.The block copolymer micelles(3H-labelled)were i.v. injected into the mice via the lateral tail vein.The doses of copolymer administered were250,2and0.2mg/kg in order to examine the distribution kinetics of(1)copolymer assembled as thermodynamically stable micelles,(2) copolymer assembled as thermodynamically unstable micelles and(3)copolymer unimers,respectively.At 10min,1,2,3,6,8,11,24and48h post-injection the ani-mals were sacrificed(n=3)by cervical dislocation and blood as well as tissue samples(i.e.heart,lung,kidney, liver and spleen)were collected.Blood samples were imme-diately centrifuged at1600g for10min to obtain plasma. The concentration of block copolymer in plasma was measured directly by liquid scintillation counting.The heart,lung,kidney,liver and spleen samples were washed with PBS to remove excess blood and weighed. The tissue samples were then placed in excess PBS(tis-sue:PBS=1:3(wt:wt))and homogenized.One hundred andfifty microliter aliquots of the homogenized samples were added to0.5mL of SolueneÒ(Perkin-Elmer Life and Analytical Sciences Inc.,Wellesley,MA)and the mix-ture was incubated at50°C overnight.After cooling to room temperature,50l L EDTA(200mM),200l L hydro-gen peroxide(30%)and25l L HCl(10N)were added.The mixture was then incubated for1h at room temperature and10mL of scintillation cocktail was added.The samples were analyzed by scintillation counting following24-h incubation at room temperature.The total area under the plasma concentration–time curve(AUC)and the total area under thefirst-moment curve(AUMC)for the copolymers were calculated by the linear trapezoidal rule.2.1partmental modeling and datafittingCompartmental open models were used forfitting the data from the in vivo studies.The computer software Scien-tistÒversion2(MicroMath Inc.,Salt Lake City,UT)was employed for allfitting and simulations.The model selec-tion criterion(MSC)was used as the parameter to deter-mine the optimal model[21].2.14.Statistical analysesStatistical analyses of the data were performed using the unpaired,two-tailed,Student’s t-test.Values of P<0.05 were considered to be statistically significant.3.Results3.1.Synthesis and characterization of MePEG-b-PCL and radiolabelled MePEG-b-PCL block copolymerThe block copolymers of MePEG-b-PCL were synthe-sized by a metal-free cationic polymerization method with HCl–ether as the catalyst[17].MePEG was able to initi-ate CL polymerization in the presence of HCl and as con-firmed by SEC analysis little unreacted residual MePEG remained following the procedure.As summarized in Table1,the copolymers have been found to have the pre-dicted compositions and relatively narrow molecular weight distributions(i.e.M w/M n=1.04–1.10).The radio-labelled MePEG5000-b-PCL5000was synthesized by an end-capping method as shown in Scheme1.The3H-la-belled acetyl chloride was reacted with the hydroxyl group at the end of the PCL block of the MePEG5000-b-PCL5000 copolymer.Due to the low molecular weight of this radio-active compound as well as the hydroxyl functional group,the labelling of the copolymer does not result in a significant change in the overall chemical composition of the material.3.2.Determination of critical micelle concentrations of MePEG-b-PCL copolymersAs listed in Table1,the CMC values for MePEG20000-b-PCL5000,MePEG10000-b-PCL5000and MePEG5000-b-PCL5000copolymers were found to be299±9mg/L,312J.Liu et al./European Journal of Pharmaceutics and Biopharmaceutics65(2007)309–319110±20mg/L and38±6mg/L,respectively.The observed trend agrees well with previousfindings in that the CMC increases with an increase in the hydrophilic block length of the copolymer,when the length of the hydrophobic block is held constant[22].3.3.Micelle preparation and characterizationA dry-down method was used to prepare micelles from the three MePEG-b-PCL copolymers.Following hydration of the copolymerfilms in PBS,sonication was employed as a means to reduce the size distribution of the micelles.The size and size distribution of the micelles were measured by DLS and are provided in Table1.The MePEG5000-b-PCL5000copolymer was found to form the smallest sized micelles with an effective mean diameter of approximately 56±6nm(n=3).A significant increase in the viscosity of the solution was observed for the micelle solutions pre-pared from copolymers having the higher PEG block lengths.Specifically,the MePEG20000-b-PCL5000micelle solution was gel-like;while,the MePEG10000-b-PCL5000 solution was found to be more viscous than the MePEG5000-b-PCL5000micelle solution,with all solutions having copolymer concentrations of50mg/mL.DLS mea-surements revealed that all micelle solutions had a mono-modal size distribution.The morphology of the particles formed from MePEG5000-b-PCL5000was also investigated by TEM.As shown in Fig.1,the electron microscopicanalysis revealed a spherical morphology with a relatively uniform size distribution for the micelles.3.4.Thermal analysis of micellesDSC measurements were performed to investigate the thermal properties of the MePEG-b-PCL micelles(data not shown).The thermograms for all copolymer micelles included a single,symmetrical endotherm that peaks at61, 58and55°C for MePEG20000-b-PCL5000,MePEG10000-b-PCL5000and MePEG5000-b-PCL5000,respectively.PCL and PEG are both known to be semi-crystalline polymers[1]. The T m for the MePEG homopolymers were found to be 65,63and62°C for molecular weights20,000,10,000and 5000,respectively.The T m for PCL homopolymer of a sim-ilar molecular weight has been reported to be between52 and60°C[23].The single endotherms in the thermograms are the result of the melting of both the PCL and PEG blocks. As expected,as the PEG content within the copolymer is decreased,the T m for the copolymer approaches the T m of PCL homopolymer.3.5.In vitro stability of micellesThe in vitro stability of the MePEG-b-PCL micelles at 37°C was investigated in the absence and presence of phys-iologically relevant concentrations of BSA(45g/L).The size and size distribution of the micelles in buffer(±BSA) were evaluated via DLS measurements for periods of up to240h(i.e.10days).The measurements were terminated prior to240h if the intensity of a second population increased to more than40%of the total intensity as this indicates the significant presence of a multi-modal size dis-tribution.As shown in Fig.2,micelles formed from the MePEG5000-b-PCL5000copolymer retained their size and a monomodal size distribution over the240h incubation period in both the absence(Fig.2A)and presence (Fig.2B)of BSA.The values obtained for the hydrody-namic diameters of the MePEG5000-b-PCL5000copolymer micelles in the absence and presence of BSA were com-pared by the Student’s t-test and the differences in the diameters were found to be insignificant(P>0.05)at all time points.However,significant size variations were observed for the micelles formed from the MePEG20000-b-PCL5000and MePEG10000-b-PCL5000copolymers,both in the absence and presence of BSA.In addition,the micelle solution formed from the MePEG20000-b-PCL5000copoly-mer at a concentration of50mg/mL was observed to forma gel upon incubation at37°C.3.6.Interaction of copolymer with plasma proteinThe GFC elution profile for copolymer that had been incubated with total plasma was found to be the same as that for copolymer incubated with PBS.The retention time for the copolymer remained unchanged demonstrating that there are no significant interactions between protein and copolymer(data notshown).Fig.1.Transmission electron micrograph of micelles formed from the MePEG5000-b-PCL5000copolymer.J.Liu et al./European Journal of Pharmaceutics and Biopharmaceutics65(2007)309–3193133.7.In vivo stability of MePEG 5000-b-PCL 5000micelles The elution volumes for micelles and copolymer unimers had previously been determined to be 5–7mL and 11–14mL,respectively.The recovery of total radioactivity from the column for each sample was found to be greater than 92%.This high recovery rate confirms that the cleav-age of the 3H label from the copolymer occurs to an insig-nificant extent in mouse plasma for periods of up to 24h.Fig.3A includes the GFC elution profiles for a plasma sample collected 1and 24h post-administration of a copolymer dose of 250mg/kg.If it is assumed that follow-ing administration,the 250mg/kg copolymer dose is com-pletely diluted in the entire blood volume,then the resulting copolymer concentration would be 70-fold above the CMC of the copolymer (i.e.38mg/L).As shown in Fig.3A,each profile includes a peak eluting at volumes ranging from 5to 7mL,confirming the presence of intact micelles in the plasma at both time points.The radioactiv-ity collected in the elution fractions that correspond to the micelle population for both the 1and 24h samples wasfound to be 78%and 74%,respectively,of the total radio-activity administered onto the GFC column.A similar elu-tion profile was obtained for the plasma samples collected from mice administered a 2mg/kg dose of copolymer (Fig.3B).In this case,with the same assumption as above,the resulting copolymer concentration would be 2-fold below the CMC of the copolymer.The amount of copoly-mer collected in the fractions that correspond to intact micelles was 59%and 55%of the total copolymer adminis-tered,for the 1and 24h samples,respectively.3.8.Pharmacokinetics profile of block copolymer unimers and micelles following i.v.administrationThe plasma clearance profiles for MePEG 5000-b -PCL 5000micelles at doses of 250,2and 0.2mg/kg were investigated for periods up to 48h following -partmental fits of the data from both the individual exper-iments and averaged plasma clearance profiles (n =3)were performed using the Scientist Òsoftware.For all doses considered in this study,the fits obtained forindividualFig.2.Mean diameters of micelles formed from MePEG-b -PCL copoly-mers (–d –MePEG 20000-b -PCL 5000,–m –MePEG 10000-b -PCL 5000,–j –MePEG 5000-b -PCL 5000)in the absence (A)and presence (B)of physiolog-ically relevant concentrations of BSA (45g/L)(SD shown as error bars).*Signifies that more than one size population has been observed from DLS measurements.Only the mean diameter of the major population is shown on thegraph.Fig.3.GFC chromatograms for plasma samples obtained from mice 1h (dashed line)and 24h (dashed-dotted line)following administration of (A)250mg/kg or (B)2mg/kg copolymer.MePEG 5000-b -PCL 5000micelles prior to injection are shown as the solid line.The area under the curve (AUC)for each peak is provided in the inset.314J.Liu et al./European Journal of Pharmaceutics and Biopharmaceutics 65(2007)309–319experiments were found to provide similar mean values as those obtained from the fits of averaged data (data not shown).When the copolymer was administered at a dose of 0.2mg/kg,a very rapid elimination profile from plasma was observed.As shown in Fig.4,at 10min,1h,3h and 6h,12.7%,10.7%,9.9%and 7.6%of the total injected dose,respectively,remained in the plasma.These values were compared with those from the other two dose groups using the Student’s t -test and the differences were found to be sta-tistically significant at all time points (P <0.01).The fitting of the plasma clearance data obtained at this dose revealed a one-compartment elimination profile and therefore a one-compartment model was employed to calculate the main pharmacokinetic parameters (MSC =5.70).The calculated parameters are summarized in Table 2including an elimi-nation constant of 0.070±0.003h À1and volume of distri-bution of 7.6±0.2mL.In contrast,as also shown in Fig.4,the plasma elimina-tion profiles for the copolymer following i.v.administration of doses of 250and 2mg/kg had two-compartment profiles and thus were fit using a two-compartment model.Good fits were obtained using this model as indicated by MSC val-ues of 3.59and 5.30for the 250and 2mg/kg dose groups,respectively (shown in Fig.4as solid lines).The elimination constants for both the central and peripheral compartments (i.e.k 10,k 12,k 21and V 1)for both doses were obtained directly from the fits.Other critical pharmacokinetic parameters were calculated based on these constants and are summarized in Table 2.Overall,the copolymer was found to have a relatively fast distribution phase (0–2h)followed by a much slower elimination phase (2–48h).A comparison,using the Student’s t -test,of the elimination phases for the copolymer when administered at 2mg/kgversus a dose of 250mg/kg revealed that the copolymer as thermodynamically unstable micelles is cleared more rapid-ly than copolymer as thermodynamically stable micelles at all time points (P <0.05).Also,the total clearance rates for the 2and 250mg/kg dose groups were found to be 0.14and 0.06mL/h,respectively.3.9.Biodistribution pattern of block copolymer unimers and micelles following i.v.administrationThe tissue distribution of copolymer at specific time points following administration is shown in Fig.5.For all three dose groups,a rapid accumulation of copolymer in the various organs was observed.Among the three dose groups examined,the most significant copolymer accumu-lation in both the kidney and liver was obtained for the 0.2mg/kg dose (Fig.5C).This high accumulation of copolymer in the major elimination organs correlates well with the rapid plasma clearance profile obtained for the copolymer when administered at this dose.On the other hand,the biodistribution profiles for the copolymer at dos-es of 2and 250mg/kg were found to be quite similar at most time points (P >0.05).As listed in Table 3,the tissue to plasma concentration ratios (K b )were also calculated for liver,kidney and spleen,which are known to be the main elimination organs for block copolymers [6,13].For the 0.2mg/kg dose group,high values for K b were obtained for all organs (i.e.ranges from 1.3to 3.8).The volume of distribution of the copoly-mer in these organs was found to be much larger than their extravascular space as indicated by the high K b values (i.e.for distribution in extravascular space,liver:K b 60.3,spleen:K b 60.3)[13].In contrast,for the 2mg/kg dose group the values for K b confirm that most of the copolymer occupies the extravascular space of the liver and vascular space of the spleen (i.e.for distribution in vascular space,liver:K b 60.1,spleen:K b 60.1)at 1h following adminis-tration [13].This indicates a low level of cellular uptake of copolymer in these organs.Also,at this dose,the K b values demonstrate a time-dependent profile with an increase from 0.41to 1.85in the liver and from 0.14to 0.85in the spleen at 1and 12h following i.v.administration.The K b values for the 250mg/kg dose group did not vary as signif-icantly with time.The K b values were 0.27and 0.41in the liver and 0.16and 0.2in the spleen at 1and 12h post-administration,respectively.These small values for K b also indicate that a significant amount of the injected copoly-mer,when administered at this dose,remains in the extra-vascular space of the liver and vascular space in the spleen with only minor uptake by these organs for up to 12h following i.v.administration.4.DiscussionIn this study a series of MePEG-b -PCL copolymers were synthesized and used to form micelles that were character-ized in vitro as a means to select the most suitablematerialFig.4.The plasma clearance of MePEG 5000-b -PCL 5000micelles in Balb/C mice (n =3,SD shown as error bars)following intravenous injection at a dose of 250mg/kg (d ,concentration of copolymer above CMC upon dilution following administration)2mg/kg (m ,concentration of copoly-mer above CMC prior to administration but falls below CMC upon dilution)or 0.2mg/kg (j ,copolymer unimers).The plasma concentration data for all groups were fit using compartmental open models by Scientist Òsoftware and are shown as solid lines.J.Liu et al./European Journal of Pharmaceutics and Biopharmaceutics 65(2007)309–319315。
On the Shockley-Read-Hall Model:Generation-Recombination in SemiconductorsThierry Goudon1,Vera Miljanovi´c2,Christian Schmeiser3January17,2006AbstractThe Shockley-Read-Hall model for generation-recombination of electron-hole pairs insemiconductors based on a quasistationary approximation for electrons in a trappedstate is generalized to distributed trapped states in the forbidden band and to ki-netic transport models for electrons and holes.The quasistationary limit is rigorouslyjustified both for the drift-diffusion and for the kinetic model.Keywords:semiconductor,generation,recombination,drift-diffusion,kinetic modelAMS subject classification:Acknowledgment:This work has been supported by the European IHP network“HYKE-Hyperbolic and Kinetic Equations:Asymptotics,Numerics,Analysis”,contract no.HPRN-CT-2002-00282,and by the Austrian Science Fund,project no.W008(Wissenschaftskolleg ”Differential Equations”).Part of it has been carried out while the second and third authors enjoyed the hospitality of the Universit´e des Sciences et Technologies Lille1.1Team SIMPAF–INRIA Futurs&Labo.Paul Painlev´e UMR8524,CNRS–Universit´e des Sciences et Technologies Lille1,Cit´e Scientifique,F-59655Villeneuve d’Ascq cedex,France.2Wolfgang Pauli Institut,Universit¨a t Wien,Nordbergstraße15C,1090Wien,Austria.3Fakult¨a t f¨u r Mathematik,Universit¨a t Wien,Nordbergstraße15C,1090Wien,Austria&RICAM Linz,¨Osterreichische Akademie der Wissenschaften,Altenbergstr.56,4040Linz,Austria.11IntroductionThe Shockley-Read-Hall (SRH-)model was introduced in 1952[13],[9]to describe the sta-tistics of recombination and generation of holes and electrons in semiconductors occurring through the mechanism of trapping.The transfer of electrons from the valence band to the conduction band is referred to as the generation of electron-hole pairs (or pair-generation process),since not only a free electron is created in the conduction band,but also a hole in the valence band which can contribute to the charge current.The inverse process is termed recombination of electron-hole pairs.The bandgap between the upper edge of the valence band and the lower edge of the conduction band is very large in semiconductors,which means that a big amount of energy is needed for a direct band-to-band generation event.The presence of trap levels within the forbidden band caused by crystal impurities facilitates this process,since the jump can be split into two parts,each of them ’cheaper’in terms of energy.The basic mechanisms are illustrated in Figure 1:(a)hole emission (an electron jumps from the valence band to the trapped level),(b)hole capture (an electron moves from an occupied trap to the valence band,a hole disappears),(c)electron emission (an electron jumps from trapped level to the conduction band),(d)electron capture (an electron moves from the conduction band to an unoccupiedtrap).a b cd conduction band trapped level valence bandE v E ce n e r g y of a n e l e c t r o n ,E E Figure 1:The four basic processes of electron-hole recombination.Models for this process involve equations for the densities of electrons in the conduction band,holes in the valence band,and trapped electrons.Basic for the SRH model are the drift-diffusion assumption for the transport of electrons and holes,the assumption of one trap level in the forbidden band,and the assumption that the dynamics of the trapped electrons is quasistationary,which can be motivated by the smallness of the density of trapped states compared to typical carrier densities.This last assumption leads to the elimination of the density of trapped electrons from the system and to a nonlinear effective recombination-generation rate,reminiscent of Michaelis-Menten kinetics in chemistry.This model is an2important ingredient of simulation models for semiconductor devices(see,e.g.,[10],[12]).In this work,two generalizations of the classical SRH model are considered:Instead of a single trapped state,a distribution of trapped states across the forbidden band is allowed and,in a second step,a semiclassical kinetic model including the fermion nature of the charge carriers is introduced.Although direct band-to-band recombination-generation(see, e.g.,[11])and impact ionization(e.g.,[2],[3])have been modelled on the kinetic level before, this is(to the knowledge of the authors)thefirst attempt to derive a’kinetic SRH model’. (We mention also the modelling discussions and numerical simulations in??.) For both the drift-diffusion and the kinetic models with self consistent electricfields ex-istence results and rigorous results concerning the quasistationary limit are proven.For the drift-diffusion problem,the essential estimate is derived similarly to[6],where the quasi-neutral limit has been carried out.For the kinetic model Degond’s approach[4]for the existence of solutions of the Vlasov-Poisson problem is extended.Actually,the existence theory already provides the uniform estimates necessary for passing to the quasistationary limit.In the following section,the drift-diffusion based model is formulated and nondimension-alized,and the SRH-model is formally derived.Section3contains the rigorous justification of the passage to the quasistationary limit.Section4corresponds to Section2,dealing with the kinetic model,and in Section5existence of global solutions for the kinetic model is proven and the quasistationary limit is justified.2The drift-diffusion Shockley-Read-Hall modelWe consider a semiconductor crystal with a forbidden band represented by the energy interval (E v,E c)with the valence band edge E v and the conduction band edge E c.The constant(in space)number density of trap states N tr is obtained by summing up contributions across the forbidden band:N tr= E c E v M tr(E)dE.Here M tr(E)is the energy dependent density of available trapped states.The position density of occupied traps is given byn tr(f tr)(x,t)= E c E v M tr(E)f tr(x,E,t)dE,where f tr(x,E,t)is the fraction of occupied trapped states at position x∈Ω,energy E∈(E v,E c),and time t≥0.Note that0≤f tr≤1should hold from a physical point of view.The evolution of f tr is coupled to those of the density of electrons in the conduction band, denoted by n(x,t)≥0,and the density of holes in the valence band,denoted by p(x,t)≥0. Electrons and holes are oppositely charged.The coupling is expressed through the following3quantitiesS n=1τn N tr n0f tr−n(1−f tr) ,S p=1τp N tr p0(1−f tr)−pf tr ,(1)R n= E c E v S n M tr dE,R p= E c E v S p M tr dE.(2) Indeed,the governing equations are given by∂t f tr=S p−S n=p0τp N tr+nτn N tr−f tr p0+pτp N tr+n0+nτn N tr ,(3)∂t n=∇·J n+R n,J n=µn(U T∇n−n∇V),(4)∂t p=−∇·J p+R p,J p=−µp(U T∇p+p∇V),(5)εs∆V=q(n+n tr(f tr)−p−C).(6) For the current densities J n,J p we use the simplest possible model,the drift diffusion ansatz,with constant mobilitiesµn,µp,and with thermal voltage U T.Moreover,since the trapped states havefixed positions,noflux appears in(3).By R n and R p we denote the recombination-generation rates for n and p,respectively. The rate constants areτn(E),τp(E),n0(E),p0(E),where n0(E)p0(E)=n i2with the energy independent intrinsic density n i.Integration of(3)yields∂t n tr=R p−R n.(7) By adding equations(4),(5),(7),we obtain the continuity equation∂t(p−n−n tr)+∇·(J n+J p)=0,(8) with the total charge density p−n−n tr and the total current density J n+J p.In the Poisson equation(6),V(x,t)is the electrostatic potential,εs the permittivity of the semiconductor material,q the elementary charge,and C=C(x)the given doping profile.Note that ifτn,τp,n0,p0are independent from E,or if there exists only one trap level E trwith M tr(E)=N trδ(E−E tr),then R n=1τn [n0n trN tr−n(1−n tr N tr)],R p=1τp[p0(1−n tr N tr)−p n tr N tr],and the equations(4),(5)together with(7)are a closed system governing the evolution of n,p,and n tr.We now introduce a scaling of n,p,and f tr in order to render the equations(4)-(6) dimensionless:Scaling of parameters:i.M tr→N tr E c−E v M tr.ii.τn,p→¯ττn,p,where¯τis a typical value forτn andτp.iii.µn,p→¯µµn,p,where¯µis a typical value forµn,p.4iv.(n 0,p 0,n i ,C )→¯C(n 0,p 0,n i ,C ),where ¯C is a typical value of C .Scaling of unknowns:v.(n,p )→¯C(n,p ).vi.n tr →N tr n tr .vii.V →U T V .viii.f tr →f tr .Scaling of independent variables:ix.E →E v +(E c −E v )E .x.x →√¯µU T ¯τx ,where the reference length is a typical diffusion length before recombina-tion.xi.t →¯τt ,where the reference time is a typical carrier life time.Dimensionless parameters:xii.λ= εs q ¯C ¯µ¯τ=1¯x εs U T q ¯C is the scaled Debye length.xiii.ε=N tr ¯C is the ratio of the density of traps to the typical doping density,and will be assumed to be small:ε≪1.The scaled system reads:ε∂t f tr =S p (p,f tr )−S n (n,f tr ),S p =1τpp 0(1−f tr )−pf tr ,S n =1τn n 0f tr −n (1−f tr ) ,(9)∂t n =∇·J n +R n (n,f tr ),J n =µn (∇n −n ∇V ),R n = 10S n M tr dE ,(10)∂t p =−∇·J p +R p (p,f tr ),J p =−µp (∇p +p ∇V ),R p = 10S p M tr dE ,(11)λ2∆V =n +εn tr −p −C ,n tr (f tr )= 10f tr M tr dE ,(12)with n 0(E )p 0(E )=n 2i and 10M tr dE =1.5By lettingε→0in(9)formally,we obtain f tr=τn p0+τp nτn(p+p0)+τp(n+n0),and the reduced systemhas the following form∂t n=∇·J n+R(n,p),(13)∂t p=−∇·J p+R(n,p),(14)R(n,p)=(n i2−np) 10M tr(E)τn(E)(p+p0(E))+τp(E)(n+n0(E))dE,(15)λ2∆V=n−p−C.(16) Note that ifτn,τp,n0,p0are independent from E or if there exists only one trap level,thenwe would have the standard Shockley-Read-Hall model,with R=n i2−npτn(p+p0)+τp(n+n0).Existenceand uniqueness of solutions of the limiting system(13)–(16)under the assumptions(21)–(25) stated below is a standard result in semiconductor modelling.A proof can be found in,e.g., [10].3Rigorous derivation of the drift-diffusion Shockley-Read-Hall modelWe consider the system(9)–(12)with the position x varying in a bounded domainΩ∈R3 (all our results are easily extended to the one-and two-dimensional situations),the energy E∈(0,1),and time t>0,subject to initial conditionsn(x,0)=n I(x),p(x,0)=p I(x),f tr(x,E,0)=f tr,I(x,E)(17) and mixed Dirichlet-Neumann boundary conditionsn(x,t)=n D(x,t),p(x,t)=p D(x,t),V(x,t)=V D(x,t)x∈∂ΩD⊂∂Ω(18) and∂n ∂ν(x,t)=∂p∂ν(x,t)=∂V∂ν(x,t)=0x∈∂ΩN:=∂Ω\∂ΩD,(19)whereνis the unit outward normal vector along∂ΩN.We permit the special cases thateither∂ΩD or∂ΩN are empty.More precisely,we assume that either∂ΩD has positive(d−1)-dimensional measure,or it is empty.In the second situation(∂ΩD empty)we haveto assume total charge neutrality,i.e.,Ω(n+εn tr−p−C)dx=0,if∂Ω=∂ΩN.(20)The potential is then only determined up to a(physically irrelevant)additive constant.The following assumptions on the data will be used:For the boundary datan D,p D∈W1,∞loc(Ω×R+t),V D∈L∞loc(R+t,W1,6(Ω)),(21)6for the initial datan I ,p I ∈H 1(Ω)∩L ∞(Ω),0≤f tr,I ≤1,(22) Ω(n I +εn tr (f tr,I )−p I −C )dx =0,if ∂Ω=∂ΩN ,(23)for the doping profile C ∈L ∞(Ω),(24)for the recombination-generation rate constants n 0,p 0,τn ,τp ∈L ∞((0,1)),τn ,τp ≥τmin >0.(25)With these assumptions,a local existence and uniqueness result for the problem (9)–(12),(17)–(19)for fixed positive εcan be proven by a straightforward extension of the approach in[5](see also [10]).In the following,local existence will be assumed,and we shall concentrate on obtaining bounds which guarantee global existence and which are uniform in εas ε→0.For the sake of simplicity,we consider that the data in (21),(22)and (24)do not depend on ε;of course,our strategy works dealing with sequences of data bounded in the mentioned spaces.The following result is a generalization of [6,Lemma 3.1],where the case of homogeneous Neumann boundary conditions and vanishing recombination was treated.Our proof uses a similar approach.Lemma 3.1.Let the assumptions (21)–(25)be satisfied.Then,the solution of (9)–(12),(17)–(19)exists for all times and satisfies n,p ∈L ∞loc ((0,∞),L ∞(Ω))∩L 2loc ((0,∞),H 1(Ω)))uniformly in εas ε→0as well as 0≤f tr ≤1.Proof.Global existence will be a consequence of the following estimates.Introducing the new variables n =n −n D , p =p −p D , C=C −εn tr −n D +p D the equations (10)–(12)take the following form:∂t n =∇·J n +R n −∂t n D ,J n =µn ∇ n +∇n D −( n +n D )∇V ,(26)∂t p =−∇J p +R p −∂t p D ,J p =−µp ∇ p +∇p D +( p +p D )∇V ,(27)λ2∆V = n − p − C.(28)As a consequence of 0≤f tr ≤1, C∈L ∞((0,∞)×Ω)holds.For q ≥2and even,we multiply (26)by n q −1/µn ,(27)by p q −1/µp ,and add:d dt Ω n q qµn + p q qµp dx =−(q −1) Ω n q −2∇ n ∇n dx −(q −1) Ω p q −2∇ p ∇p dx +(q −1) Ω n q −2n ∇ n − p q −2p ∇ p ∇V dx + Ω n q −1µn (R n −∂t n D )+ Ω p q −1µp (R p −∂t p D )=:I 1+I 2+I 3+I 4+I 5.(29)7Using the assumptions on n D ,p D and |R n |≤C (n +1),|R p |≤C (p +1),we estimate I 4≤C Ω| n |q −1(n +1)dx ≤C Ω n q dx +1 ,I 5≤C Ωp q dx +1 .The term I 3can be rewritten as follows:I 3= Ω n q −1∇ n − p q −1∇ p ]∇V dx + Ω n q −2∇ n (n D ∇V )dx − Ω p q −2∇ p (p D ∇V )dx =−1λ2q Ω[ n q − p q ]( n − p − C )dx −1λ2(q −1) Ω n q −1(∇n D ∇V +n D ( n − p − C ) dx +1λ2(q −1) Ωp q −1(∇p D ∇V +p D ( n − p − C ) dx.The second equality uses integration by parts and (28).The first term on the right hand side is the only term of degree q +1.It reflects the quadratic nonlinearity of the problem.Fortunately,it can be written as the sum of a term of degree q and a nonnegative term.By estimation of the terms of degree q using the assumptions on n D and p D as well as ∇V L q (Ω)≤C ( n L q (Ω)+ p L q (Ω)+ CL q (Ω)),we obtain I 3≤−1λ2q Ω[ n q − p q ]( n − p )dx +C Ω( n q + p q )dx +1 ≤C Ω( n q + p q )dx +1 .The integral I 1can be written as I 1=− Ω n q −2|∇n |2dx + Ω n q −2∇n D ∇n dx.(30)By rewriting the integrand in the second integral asn q −2∇n D ∇n = n q −22∇n n q −22∇n Dand applying the Cauchy-Schwarz inequality,we have the following estimate for (30):I 1≤− Ωn q −2|∇n |2dx +Ω n q −2|∇n |2dx Ω n q −2|∇n D |2dx ≤−12 Ω n q −2|∇n |2dx +C n q −2L q ≤−12 Ωn q −2|∇n |2dx +C Ω n q dx +1 .8For I2,the same reasoning(with n and n D replaced by p and p D,respectively)yields an analogous estimate.Collecting our results,we obtaind dt Ω n q qµn+ p q qµp dx≤−12 Ω n q−2|∇n|2dx−12 Ω p q−2|∇p|2dx+C Ω( n q+ p q)dx+1 .(31)Since q≥2is even,thefirst two terms on the right hand side are nonpositive and the Gronwall lemma givesΩ( n q+ p q)dx≤e qCt Ω( n(t=0)q+ p(t=0)q)dx+1 .A uniform-in-q-and-εestimate for n L q, p L q follows,and the uniform-in-εbound in L∞loc((0,∞),L∞(Ω))is obtained in the limit q→∞.The estimate in L2loc((0,∞),H1(Ω)) is then derived by returning to(31)with q=2.Now we are ready for proving the main result of this section.Theorem3.2.Let the assumptions of Theorem3.1be satisfied.Then,asε→0,for every T>0,the solution(f tr,n,p,V)of(9)–(12),(17)–(19)converges with convergence of f tr in L∞((0,T)×Ω×(0,1))weak*,n and p in L2((0,T)×Ω),and V in L2((0,T),H1(Ω)).The limits of n,p,and V satisfy(13)–(19).Proof.The L∞-bounds for f tr,n,and p,and the Poisson equation(12)imply∇V∈L2((0,T)×Ω).From the definition of J n,J p(see(4),(5)),it then follows that J n,J p∈L2((0,T)×Ω).Then(10)and(11)together with R n,R p∈L∞((0,T)×Ω)imply∂t n,∂t p∈L2((0,T),H−1(Ω)).The previous result and the Aubin lemma(see,e.g.,Simon[14,Corollary 4,p.85])gives compactness of n and p in L2((0,T)×Ω).We already know from the Poisson equation that∇V∈L∞((0,T),H1(Ω)).By taking the time derivative of(12),one obtains∂t∆V=∇·(J n+J p),with the consequence that∂t∇V is bounded in L2((0,T)×Ω).Therefore,the Aubin lemma can again be applied as above to prove compactness of∇V in L2((0,T)×Ω).These results and the weak compactness of f tr are sufficient for passing to the limit in the nonlinear terms n∇V,p∇V,nf tr,and pf tr.Let us also remark that∂t n and∂t p are bounded in L2(0,T;H−1(Ω)),so that n,p are compact in C0([0,T];L2(Ω)−weak).With this remark the initial data for the limit equation makes sense.By the uniqueness result for the limiting problem(mentioned at the end of Section2),the convergence is not restricted to subsequences.94A kinetic Shockley-Read-Hall modelIn this section we replace the drift-diffusion model for electrons and holes by a semiclassical kinetic transport model.It is governed by the system∂t f n+v n(k)·∇x f n+q∇x V·∇k f n=Q n(f n)+Q n,r(f n,f tr),(32)∂t f p+v p(k)·∇x f p−q ∇x V·∇k f p=Q p(f p)+Q p,r(f p,f tr),(33)∂t f tr=S p(f p,f tr)−S n(f n,f tr),(34)εs∆x V=q(n+n tr−p−C),(35) where f i(x,k,t)represents the particle distribution function(with i=n for electrons and i=p for holes)at time t≥0,at the position x∈R3,and at the wave vector(or generalized momentum)k∈R3.All functions of k have the periodicity of the reciprocal lattice of the semiconductor crystal.Equivalently,we shall consider only k∈B,where B is the Brillouin zone,i.e.,the set of all k which are closer to the origin than to any other lattice point,with periodic boundary conditions on∂B.The coefficient functions v n(k)and v p(k)denote the electron and hole velocities,respec-tively,which are related to the electron and hole band diagrams byv n(k)=∇kεn(k)/ ,v p(k)=−∇kεp(k)/ ,where is the reduced Planck constant.The elementary charge is still denoted by q.The collision operators Q n and Q p describe the interactions between the particles and the crystal lattice.They involve several physical phenomena and can be written in the general formQ n(f n)= B Φn(k,k′)[M n f′n(1−f n)−M′n f n(1−f′n)]dk′,(36)Q p(f p)= B Φp(k,k′)[M p f′p(1−f p)−M′p f p(1−f′p)]dk′,(37) with the primes denoting evaluation at k′,with the nonnegative,symmetric scattering cross sections Φn(k,k′)and Φp(k,k′),and with the MaxwelliansM n(k)=c n exp(−εn(k)/k B T),M p(k)=c p exp(−εp(k)/k B T),where k B T is the thermal energy of the semiconductor crystal lattice and the constants c n, c p are chosen such that B M n dk= B M p dk=1.The remaining collision operators Q n,r(f n,f tr)and Q p,r(f p,f tr)model the generation and recombination processes and are given byQ n,r(f n,f tr)= E c E vˆS n(f n,f tr)M tr dE,(38)10withˆS n (f n ,f tr )=Φn (k,E )N tr[n 0M n f tr (1−f n )−f n (1−f tr )],and Q p,r (f p ,f tr )= E c E vˆS p (f p ,f tr )M tr dE ,(39)with ˆS p (f p ,f tr )=Φp (k,E )N tr[p 0M p (1−f p )(1−f tr )−f p f tr ],and where Φn,p are non negative and M tr (x,E )is the density of available trapped states as for the drift diffusion model,except that we allow for a position dependence now.This will be commented on below.The parameter N tr is now determined as N tr =sup x ∈R 3 10M tr (x,E )dE .The right hand side in the equation for the occupancy f tr (x,E,t )of the trapped states is defined byS n (f n ,f tr )= BˆS n dk =λn [n 0M n (1−f n )]f tr −λn [f n ](1−f tr ),(40)with λn [g ]= B Φn g dk ,andS p (f p ,f tr )=BˆS p dk =λp [p 0M p (1−f p )](1−f tr )−λp [f p ]f tr ,(41)with λp [g ]= B Φp g dk .The factors (1−f n )and (1−f p )take into account the Pauli exclusion principle,which therefore manifests itself in the requirement that the values of the distribution function have to respect the bounds 0≤f n ,f p ≤1.The position densities on the right hand side of the Poisson equation (35)are given byn (x,t )= B f n dk ,p (x,t )= B f p dk ,n tr (x,t )=E cE v f tr M tr dE.The following scaling,which is strongly related to the one used for the drift-diffusion model,will render the equations (32)-(35)dimensionless:Scaling of parameters:i.M tr →N tr E v −E cM tr ,ii.(εn ,εp )→k B T (εn ,εp ),with the thermal energy k B T ,iii.(Φn ,Φp )→τ−1rg (Φn ,Φp ),where τrg is a typical carrier life time,iv.( Φn , Φp )→τ−1coll( Φn , Φp ),v.(n 0,p 0,C )→C (n 0,p 0,C ),where C is a typical value of |C |,11vi.(M n,M p)→C−1(M n,M p).Scaling of independent variables:vii.x→k B T√τrgτcoll C−1/3 −1x,viii.t→τrg t,ix.k→C1/3k,x.E→E v+(E c−E v)E,Scaling of unknowns:xi.(f n,f p,f tr)→(f n,f p,f tr),xii.V→U T V,with the thermal voltage U T=k B T/q.Dimensionless parameters:xiii.α2=τcoll,τrgxiv.λ=q√τrgτcoll C1/6 εs k B T,,where again we shall study the situationε≪1.xv.ε=N trCFinally,the scaled system readsα2∂t f n+αv n(k)·∇x f n+α∇x V·∇k f n=Q n(f n)+α2Q n,r(f n,f tr),(42)α2∂t f p+αv p(k)·∇x f p−α∇x V·∇k f p=Q p(f p)+α2Q p,r(f p,f tr),(43)ε∂t f tr=S p(f p,f tr)−S n(f n,f tr),(44)λ2∆x V=n+εn tr−p−C=−ρ,(45) with v n=∇kεn,v p=−∇kεp,with Q n and Q p still having the form(36)and,respectively, (37),with the scaled MaxwelliansM n(k)=c n exp(−εn(k)),M p(k)=c p exp(−εp(k)),(46) and with the recombination-generation termsQ n,r(f n,f tr)= 10ˆS n M tr dE,Q p,r(f p,f tr)= 10ˆS p M tr dE,(47) withˆS=Φn[n0M n f tr(1−f n)−f n(1−f tr)],ˆS p=Φp[p0M p(1−f tr)(1−f p)−f p f tr].(48) n12The right hand side of (44)still has the form (40),(41).The position densities are given byn = B f n dk ,p = B f p dk ,n tr = 1f tr M tr dE.(49)The system (42)–(44)conserves the total charge ρ=p +C −n −εn tr .With the definitionJ n =−1α B v n f n dk ,J p =1α Bv p f p dk ,of the current densities,the following continuity equation holds formally:∂t ρ+∇x ·(J n +J p )=0.Setting formally ε=0in (44)we obtainf tr (f n ,f p )=p 0λp [M p (1−f p )]+λn [f n ]p 0λp [M p (1−f p )]+λp [f p ]+λn [f n ]+n 0λn [M n (1−f n )]Substitution f tr into (47)leads to the kinetic Shockley-Read-Hall recombination-generation operatorsQ n,r (f n ,f p )=g n [f n ,f p ](1−f n )−r n [f n ,f p ]f n ,Q p,r (f n ,f p )=g p [f n ,f p ](1−f p )−r p [f n ,f p ]f p ,(50)withg n =10Φn M n n 0 p 0λp [M p (1−f p )]+λn [f n ] M tr p 0λp [M p (1−f p )]+λp [f p ]+λn [f n ]+n 0λn [M n (1−f n )]dE ,r n =10Φn λp [f p ]+n 0λn [M n (1−f n )] M tr p 0λp [M p (1−f p )]+λp [f p ]+λn [f n ]+n 0λn [M n (1−f n )]dE ,g p =10Φp M p p 0 n 0λn [M n (1−f n )]+λp [f p ] M tr p 0λp [M p (1−f p )]+λp [f p ]+λn [f n ]+n 0λn [M n (1−f n )]dE ,r p = 1Φp λn [f n ]+p 0λp [M p (1−f p )] M trp 0λp [M p (1−f p )]+λp [f p ]+λn [f n ]+n 0λn [M n (1−f n )]dE.Of course,the limiting model still conserves charge,which is expressed by the identityB Q n,r dk = BQ p,r dk.Pairs of electrons and holes are generated or recombine,however,in general not with the same wave vector.This absence of momentum conservation is reasonable since the process involves an interaction with the trapped states fixed within the crystal lattice.135Rigorous derivation of the kinetic Shockley-Read-Hall modelThe limitε→0will be carried out rigorously in an initial value problem for the kineticmodel with x∈R3.Concerning the behaviour for|x|→∞,we shall require the densities tobe in L1and use the Newtonian potential solution of the Poisson equation,i.e.,(45)will bereplaced byE(x,t)=−∇x V=λ−2 R3x−y|x−y|3ρ(y,t)dy.(51) We define Problem(K)as the system(42)–(44),(51)with(36),(37),(47)–(49),(40),and(41),subject to the initial conditionsf n(x,k,0)=f n,I(x,k),f p(x,k,0)=f p,I(x,k),f tr(x,E,0)=f tr,I(x,E).We start by stating our assumptions on the data.For the velocities we assumev n,v p∈W1,∞per(B),(52) where here and in the following,the subscript per denotes Sobolev spaces of functions of ksatisfying periodic boundary conditions on∂B.Further we assume that the cross sectionssatisfyΦn, Φp≥0, Φn, Φp∈W1,∞per(B×B),(53) andΦn,Φp≥0,Φn,Φn∈W1,∞per(B×(0,1)).(54) Afinite total number of trapped states is assumed:M tr≥0,M tr∈W1,∞(R3×(0,1))∩W1,1(R3×(0,1)).The L1-assumption with respect to x is needed for controlling the total number of generatedparticles.For the initial data we assume0≤f n,I,f p,I≤1,f n,I,f p,I∈W1,∞per(R3×B)∩W1,1per(R3×B),0≤f tr,I≤1,f tr,I∈W1,∞per(R3×(0,1)).(55) We also assumen0,p0∈L∞((0,1)),C∈W1,∞(R3)∩W1,1(R3).(56) Finally,we need an upper bound for the life time of trapped electrons:B(Φn min{1,n0M n}+Φp min{1,p0M p})dk≥γ>0.(57)The reason for the various differentiability assumptions above is that we shall constructsmooth solutions by an approach along the lines of[11],which goes back to[4].14An essential tool are the following potential theory estimates[15]:E L∞(R3)≤C ρ 1/3L1(R3) ρ 2/3L∞(R3),(58)∇x E L∞(R3)≤C 1+ ρ L1(R3)+ ρ L∞(R3) 1+log(1+ ∇xρ L∞(R3)) .(59) We start by rewriting the collision and recombination generation operators asQ i(f i)=a i[f i](1−f i)−b i[f i]f i,i=n,p,andQ i,r(f i,f tr)=g i[f tr](1−f i)−r i[f tr]f i,i=n,p,witha i[f i]= B Φi M i f′i dk′,b i[f i]= B Φi M′i(1−f′i)dk′,i=n,pg n[f tr]= 10Φn n0M n f tr M tr dE,g p[f tr]= 10Φp p0M p(1−f tr)M tr dE,r n[f tr]= 10Φn(1−f tr)M tr dE,r p[f tr]= 10Φp f tr M tr dE.In order to construct an approximating sequence(f j n,f j p,f j tr,E j)we begin withf0i(x,k,t)=f i,I(x,k),i=n,p,f0tr(x,E,t)=f tr,I(x,E)(60) Thefield always satisfiesE j(x,t)= R3x−y|x−y|3ρj(y,t)dy(61)Let(f j n,f j p,f j tr,E j)be given.Then the f i j+1are defined as the solutions of the following problem:α2∂t f j+1n +αv n(k)·∇x f j+1n−αE j·∇k f j+1n=(a n[f j n]+α2g n[f j tr])(1−f j+1n)−(b n[f j n]+α2r n[f j tr])f j+1n,α2∂t f j+1p +αv p(k)·∇x f j+1p+αE j·∇k f j+1p=(a p[f j p]+α2g p[f j tr])(1−f j+1p)−(b p[f j p]+α2r p[f j tr])f j+1p,ε∂t f j+1tr =(p0λp[M p(1−f j p)]+λn[f j n])(1−f j+1tr)−(n0λn[M n(1−f j n)]+λp[f j p])f j+1tr,(62)subject to the initial conditionsf j+1 n (x,k,0)=f n,I(x,k),f j+1p(x,k,0)=f p,I(x,k),f j+1tr(x,E,0)=f tr,I(x,E).(63)For the iterative sequence we state the following lemma,which is very similar to the Propo-sition3.1from[11]:15Lemma5.1.Let the assumptions(52)–(56)be satisfied.Then the sequence(f j n,f j p,f j tr,E j), defined by(60)-(63)satisfies for any time T>0a)0≤f i j≤1,i=n,p,tr.b)f j n and f j p are uniformly bounded with respect to j→∞andε→0in L∞((0,T),L1(R3×B).c)E j is uniformly bounded with respect to j andεin L∞((0,T)×R3).Proof.Thefirst two equations in(62)are standard linear transport equations,and the third equation is a linear ODE.Existence and uniqueness for the initial value problems are therefore standard results.Note that the a i,b i,g i,r i,andλi in(62)are nonnegative if we assume that a)holds for j.Then a)for j+1is an immediate consequence of the maximum principle.To estimate the L1-norms of the distributions,we integrate thefirst equation in(62)and obtainf j+1n L1(R3×B)≤ f n,I L1(R3×B)+ t0 a n[f j n]1α2+g n[f j tr] L1(R3×B)(s)ds.(64) The boundedness of Φn,Φn,and f j tr,and the integrability of M tr implya n[f j n] L1(R3×B)≤C f j n L1(R3×B), g n[f j tr] L1(R3×B)≤C.(65) Now this is used in(64).Then an estimate is derived for f j n by replacing j+1by j and using the Gronwall inequality.Finally,it is easily since that this estimate is passed from j to j+1by(64).An analogous argument for f j p completes the proof of b).A uniform-in-ε(L1∩L∞)-bound for the total charge densityρj=n j+εn j tr−p j−C follows from b)and from the integrability of M tr.The statement c)of the lemma is now a consequence of(58).For passing to the limit in the nonlinear terms some compactness is needed.Therefore we prove uniform smoothness of the approximating sequence.Lemma5.2.Let the assumptions(52)–(57)be satisfied.Then for any time T>0:a)f j n and f j p are uniformly bounded with respect to j andεin L∞((0,T),W1,1per(R3×B)∩(R3×B)),W1,∞perb)f j tr is uniformly bounded with respect to j andεin L∞((0,T),W1,∞(R3×(0,1))),c)E j is uniformly bounded with respect to j andεin L∞((0,T),W1,∞(R3)).16。
AS-International AssociationActuator Sensor Interface(AS-Interface®)Test Requirements MasterVersion 1.2, Revision 1.1Apr. 05, 2002ConfidentialFor internal use of the members only or for companies which have bought the documentation from the AssociationTest Requirements Master 1.2 Rev. 1.1AcceptanceThese test requirements have been accepted by the Technical Commission of the AS International Association in its meeting on April 10, 2002 and by the Management Committee in its meeting on May 14, 2002.File date: August 8th, 2002Test Requirements for AS-Interface MasterContents:A. General (1)1. Basic tests (4)2. Simplified test (4)3. Additional tests (4)4. Precedence (4)B. Test instructions (4)1. Test instruction: Current consumption (5)2. Test instruction: Noise emission AS-i master (8)3. Test instructions: Impedance and symmetry measurement (11)4. Test instruction: Power-on behaviour (21)5. Test instruction: Burst test (25)6. Test instruction: Analogue part (31)7. Test instruction: Voltage cutoff (34)8. Test instruction: Logical start-up behaviour (37)9. Test instruction: Logical behaviour in normal operation (40)10. Test instruction: Analogue profile (43)11. Test instruction: Functions in accordance with PICS (45)12. Test instruction: Time response (49)13. Test instruction: Security of data (52)C. Forms for technical reports (56)Annex: (77)Test Requirements Master 1.2 Rev. 1.1A. General1. Basic testsThese test requirements for the AS-Interface master describe the minimum extent of a basic test to be carried out on the AS-i master to section 4.4 (2) of the Certification Guidelines (ZRL) for AS-i products.AS-i masters forming a part of a higher-level system, e.g. couplers (gateways) to higher-level bus systems or masters with integrated host functions (AS-i control) are also tested in accordance with these test requirements if applicable. Host functions shall be accessible or realised in the higher-level system in accordance with these test requirements.If an AS-i power supply is integrated in the AS-i master, the master is additionally subject to the test requirements for AS-i power supplies.If the AS-i master contains components already tested and approved by the AS-i Association these components will not be tested again (section 4.4 (3) of the ZRL).All standard AS-i components used for testing purposes shall be AS-i certified.2. Simplified testSimplified tests to section 4.5 ZRL shall use parts of these test requirements if applicable.3. Additional testsIn special cases the test laboratory is entitled to execute additional tests beyond these test requirements in accordance with the valid specification or shall demand them from the manufacturer.4. PrecedenceIn the case of discrepancies between these test requirements and the AS-i specifications the complete specification takes precedence.instructionsB. TestAll tests described in these test requirements shall have an accuracy of 1% unless stated otherwise, and shall be documented accordingly in the test protocols.For test purposes, the connection between the master and the AS-i shall be made by means of a split plug.All logical tests shall be recorded via AS-i bus monitor. All recordings of the monitor are saved as a file on a diskette which shall be part of the test report. In the case of errors in the logical tests a printout of the monitor recordings shall be made additionally. To protect the files from corruption, a check sum shall be put on the contents of the files. The directory listing contents and check sum shall be enclosed with the test report.1. Test instruction: Current consumptionReference: Specification AS-i master (chapter 7 of the Complete Specification),Master profiles,Test requirements for AS-i power supplies1.1 GeneralThe test requirements allow measurement of the current consumption of an AS-i master. These test requirements become obsolete if the master has an integrated AS-i power supply. In that case, however, all tests of the test requirements for AS-i power supplies have to be additionally fulfilled by the master.The manufacturer shall provide the following information:1. current data sheet,used2. profile1.2 Test circuitFigure 1 shows the required test circuit.Figure 1: Test circuit for current consumption test1.3 Measuring and test equipment·AS-i reference network·AS-i data decoupling network· ammeter· oscilloscope·test circuit to figure 1·variable power supply1.4 Test procedure1. Set up test circuit to figure 12. Operate the master to be tested in normal operation3. Check the master functions at the following DC voltages on the AS-i-line: 31.6V,26.5V, 23.5V, 21.5V and again at 23.5V4. Check the maximum current consumption1.5 EvaluationThe maximum current consumption as stated by the manufacturer shall not be greater than the value stated in the data sheet or than the requirements of the specification.The function test at the operating voltage limits shall correspond to the data stated in the data sheets and the applicable specifications, i.e. at DC voltages on the AS-i line of 31.6V, 26.5Vmaster activity is detected by means of an oscilloscope directly on the AS-i line.Test recordingsDate:Tested by:Test laboratory:Test report no.:ofPage:Current consumptionTest piece code: ___________________Network configurationMaster: __________________________Power supply: __________________________ Data decoupling: ___________________ Slaves: __________________________Measured values:Voltage U /(V) 31.6 26.5 23.5 21.5 23.5Current I / (mA)Communication yes/no yes/no yes/no yes/no yes/nomax. current consumption: ______mA < current stated in data sheet:yes/noResult:Test passed: Yes / No Signature: _________________Test Requirements Master 1.2 Rev. 1.1 2. Test instruction: Noise emission AS-i masterReference: Specification AS-i master (chapter 7 of the Complete Specification),2.1 GeneralThis test instruction allows the measurement of the noise emission of an AS-i master in a power-fail state on the AS-i network.2.2 Test circuitFigure 1 shows the required test circuit.Figure 1: Test circuit noise emission AS-i masterThe change in current consumption in a master should only cause a noise voltage £ 50mVss on the AS-i line in the frequency range between 10kHz and 500kHz. The voltage on the AS-i line is measured by means of an oscilloscope via a bandpass (see figure 2, see spice simulation in the appendix to the test requirements for impedance and symmetry measurement). The oscilloscope is to be operated in the mode Envelope, Peak Detection on at a cut-off frequency > 10 MHz. The FET probe is to be terminated with an impedance of 50 Ohm. The test circuit is to be screened from noise so that the measured maximum noise voltage without the master is smaller than 15 mV. For this purpose, the cable length between master and AS-i equivalent line (see figure 3) is to be limited to max. 20 cm. The master is to be operated in the power-fail state (direct voltage on the AS-i line of 21 V).50 Ohm or AS-i 10 … 1MOhm 10 … 30 pFFigure 2: bandpass 10kHz ... 500kHzR = 0,125O hmL = 1,25 µHC=700 p FFigure 3: equivalent circuit of the 10m AS-i equivalent line2.3. Measuring and test equipment·AS-i power supply·oscilloscope with FET probe (50 Ohm output impedance)· bandpass·test circuit to figure 12.4 Test procedure1. Apply a voltage of 21 V to the AS-i line2. Measure the noise voltage without the master by means of the oscilloscope over 60seconds3. Connect the master4. Check the power-fail state of the master5. Measure the noise voltage with the master on the AS-i line by means of an oscilloscopeover 60 secondsThe measurements shall have an accuracy of 5%.2.5 EvaluationThe noise voltage on the AS-i line must not be increased by more than 50 mVss by the master in the power-fail state.Test Requirements Master 1.2 Rev. 1.1 Test recordingsDate:by:TestedTest laboratory:Test report no.:Page:of Noise emission AS-i masterTest piece code: ___________________Network configurationMaster: __________________________Power supply: _________________________Measured values:Noise voltage:without master: _______mVsswith master: _______mVss difference: ______ £ 50mVss : yes / noTest criteria: In the power-fail state the noise voltage of the master on the AS-i line must not exceed 50 mVss!Result:Test passed: Yes / No Signature: _________________3. Test instructions: Impedance and symmetry measurementReference: Specification AS-i master (chapter 7 of the Complete Specification),3.1. Impedance measurement3.1.1 GeneralThe impedance measurement of the master is to be performed in the "ready state" under laboratory conditions.An AC signal U~ with Ri £20 Ohm is to be superimposed on the AS-i DC voltage. This AC voltage and the resulting AC current I~ of the master are to be measured3.1.2 Test circuitFigure 1 shows the test circuit for the impedance measurement. The operation of the master in switch position "test" has been purposefully selected as asymmetrical, i.e. metal parts of the master must not be grounded. Switch S1 allows a switching of AC ground (switch position shown: AS-i- = GND).The AC input current I~ is measured by means of the current probe. The input impedance is calculated as follows:| Z | = | U~ | / | I~ |The distance to the AS-i master shall be 20 cm.The DC voltage is to be set to 21V to put the master in the offline state.3.1.3 Measuring and test equipment·power supply (universal)· signal generator· current probe·test circuit (IMP_SYM) to figure 1for point 3.2 (symmetry measurement)· FET probe· HF voltmeter· bandpassFigure 1: Test circuit impedance measurement (IMP_SYM)3.1.4 Test procedure·Switch S1: position "AS-i- = GND"·Determine the AC current I~ at U~ = 6 Vss·The measurement is to be carried out as described in chapter 7.2.1.1 of the Complete Specification.The accuracy of the measurements shall be within 3%.3.1.5 EvaluationThe evaluation is to be carried out as described in chapter 7.2.1.1 of the Complete Specification and must not exceed the limit values stated there.3.1.6 DC resistanceThe DC resistance between ASI+, ASI- and all metallic parts of the master with the exception of outer connections shall be ³ 250 kOhm.3.2. Symmetry measurement:3.2.1 General:Figure 2: Master connection for symmetry measurementThe partial impedances Z1 and Z2 respectively form a voltage divider at measurement point M. This measurement point may be the metallic housing or a metallic mounting plate. The measurement point shall be connected to the external supplies of the master or the host respectively.In the off-load state the currents through Z1 and Z2 are identical.For an asymmetry of 10% this means10.190.02121£=£Z Z U U r r .r U 1r: voltage between M and ASI+ for ASI+ = GNDU 2: voltage between M and ASI- for ASI- = GND3.2.3 Test circuit:Figure 3: Test circuit symmetry measurement of the AS-i master50 Ohm or AS-i10 … 1MOhm 10 … 30 pFFigure 4: bandpass 10 kHz ... 500 kHzThe test circuit corresponds to the one of the impedance measurement (compare figures 1 and 2). With the test circuit in figure 3 the voltage drops U1 of ASI+ to M and U2 of ASI- to M are determined by means of a FET probe (Ri=1MOhm//2pF) with AC coupling Ck ³1nF at an output impedance of 50 Ohm and an HF voltmeter (frequency range up to 300 kHz, Ri=10MOhm//30pF). The capacitance Ckomp=Cfet is to be taken into account in the circuit to compensate for the probe capacitance.By means of calibrating C 3, |U1| = |U2| = UE/2 can be achieved and the capacitances of C 1 and C 2 can be determined independent of Z.A possible measurement error of the HF voltmeter in higher frequency ranges is eliminated by means of the ratio |U1| / |U2|.The appendix shows the frequency response of the bandpass from a SPICE simulation with different combinations of the terminating resistor.3.2.4 Test procedure· Set a measurement voltage Ue of 2.0 Veff displayed on the evaluation meter at afrequency of 160 kHz· Determine |U1| and |U2| at a frequency of 300 kHz without C 3 · Check the condition10.190.02121£=£Z Z U U r r .· If this condition is met, determine at frequencies of 50kHz, 100kHz, 125kHz, 160kHz,200kHz, 300kHz and check if this condition is met.· for ASI+ = GND determine the frequency response of |U1| · for ASI- = GND determine the frequency response of |U2| · define the ratio |U1| / |U2| as stated in point 2.1 (General)·If the condition10.190.02121£=£Z Z U U r ris not met:· Add C3 between ASI+ and M or ASI- and M respectively, depending on the voltage testand calibrate until you reach |U1| = |U2| = UE/2 at a measurement frequency of 300kHz · Determine C3The accuracy of the measurements shall be within 3%.3.2.5 Evaluation / symmetry criteriaOne of the following conditions shall be met:1. 10.190.02121£=£Z Z U U r r or2.90.080.021££U U r r or 20.110.21££U U r 1r with C 3 £ 15 pF or3. 80.021£U U r r or 2120.1U U r r £ with C 3 £ 30 pFTest recordingsDate: Tested by: Test laboratory: Test report no.: Page: ofImpedance and symmetry measurementNetwork configurationMaster: _________________________ Test circuit: IMP_SYMImpedance measurement:R min L min C maxlimits5k W3mH 400pF measurementsTest criteria: R meas > R min ; L meas > L min ; C meas < C maxDC resistance (R ³ 250 kOhm): ASI+ - M: _______ ASI- - M: _______Symmetry measurement:f / (kHz) 50 100 125 160 200 300 |U1| / (V)|U2| / (V)|U1 / |U2||U1| / |U2| = ________ , C3=______ pFOne of the following conditions shall be met: 1.10.190.02121£=£Z Z U U r r2.90.080.021££U U r r or 20.110.21££U U r 1r withC 3 £ 15 pF or 3.80.021£U U r r or 2120.1U U r r £ with C 3 £ 30 pFSymmetry sufficient? yes/noResult:_________________ Yes/No Signature:passed:TestAppendix: Frequency responses bandpass with different terminating impedances4. Test instruction: Power-On behaviourReference: Specification ASI master (Chapter 7 of the Complete Specification),4.1 GeneralBy testing the Power-ON behaviour, the switch-on delay time t E of the ASI master and its current consumption shall be tested. The settings of the oscilloscope can be seen on the oscillograms.AS-i masters with integrated AS-i power supply must have an internal voltage supply which is accessible and can be interrupted for this test so that the external AS-i supply can be connected.4.2 Measuring and test equipment· power supply with AS-i data decoupling network· oscilloscope· constant current source (KONST_I)4.3 On-delay4.3.1 GeneralThe offline flag of the master is reset (normal operation). In the initial state the master is not connected with the AS-i line (switch S is open). The master shall communicate with the slaves for min. one second after switch S has been closed. The oscilloscope shall be triggered by the rising edge of the supply voltage on the AS-i line. The start of communication is shown on the oscilloscope via peak detection on and DC coupling.4.3.2 Test circuitFigure 1: Test circuit: On-delayFigure 2: Oscillogram on-delay (example)4.3.3 EvaluationThe time t E is to be determined from the oscillogram. It shall be longer than 1.00s. The accuracy of the measurements shall be within 3%.4.4 Current consumption4.4.1 GeneralIf the master is supplied (see circuit figure 4) with a current corresponding to the total current consumption as stated in the data sheet + 12.5mA (to be set with an accuracy of ± 2.5 mA), the master shall have reached an operating voltage of 26.5V within one second after closing switch S in figure 4. The final operating voltage value to be reached shall be 30V at the output of the circuit with a set constant current.4.4.2 Test circuitFigure 3: Block circuit diagram current consumption measurement of the AS-i master++--Trigger output30V in the stationary state Figure 4: Constant current source with trigger output (KONST_I)Figure 5: Oscillogram current consumption (example)4.4.3 EvaluationThe time t shall be determined from the oscillogram to figure 5. It shall be smaller than 1s. The accuracy of the measurement shall be within 3%.Test recordingsDate:by:TestedTest laboratory:Test report no.:ofPage:Power-On behaviourTest piece code: __________________Network configurationMaster: _________________________Power supply: ______________________ Data decoupling: _____________________Test circuit: KONST_IMeasured values:On-delay t E: ______ s > 1s: yes / noCurrent consumption t : __________ s < 1s: yes / noThe oscillograms are to be added to the appendix.Result:Test passed: Yes / No Signature: _________________5. Test instruction: Burst testReference: Specification AS-i master (Chapters 7 and 8 of the Complete Specification),5.1 GeneralThe test shall be performed with fast transient bursts in form of pulse groups. The interferences are injected on the AS-i line by means of a capacitive coupling clamp. The test shall be made with the following data:·level 3 for data lines·test voltage 1 kV·pulse rate 5 kHz·burst length 15 ms·burst period 300 ms.The following requirements are to be met to minimise the environmental influence on the test results:·ambient temperature: 15° C to 35° C·relative humidity: 45% to 75%·air pressure: 680 hPa to 1060 hPaFigure 1 shows the curve of the transient interferences.Figure 1: Overall curve of the transient interference5.2 Test circuit (principle)Figure 2 shows the test circuit (principle) for the burst test of the AS-i master. Figure 3 shows the circuit diagram of the filter to be used to protect the slaves from burst pulses.K a p . 5.2.2Figure 3: Test installation burst tester (BURST_T)The master operates an AS-i network (see figure 2, consisting of the first 90m of the reference network, see test instruction "Operation on the reference network" from the test requirements for AS-i-slaves and and a burst tester at measurement point 1 of the reference network, see figure 3) in the cyclic normal operation with active data exchange. The burst tester includes 2 AS-i slaves (addresses 1 and 2) and a data strobe evaluation for these two slaves, i.e. all data strobe pulses of slaves 1 and 2 are recorded, the timing is defined for the undisturbed case and the timing violation in the case of bursts is recorded. If the time defined in undisturbed operation is exceeded by more than 100 µs, this indicates an error. In the case of double pulses at slave 1 the time measurement refers to the first pulse.The reference measurements (no faults in the case of burst) require ferrite cores (define number and position) for decoupling (filter).Burst pulses of the burst generator are injected via a capacitive coupling clamp.Measurements are taken over a longer period of time (e.g. 2 min, but for a minimum of 100,000 cycles).5.3 Test installationFigure 4 shows the test installation for the burst test.10 cm above the grounded metal plateFigure 4: Test installation burst test5.4 Measuring and test equipment· burst generator·capacitive coupling clamp·20 m AS-i line (burst setup)· filter·part of the AS-i reference network (90m)·burst tester (BURST_T)·AS-i power supply5.5 Test procedure·The AS-i slaves shall be protected from the effects of burst pulses by means of filters. ·The master shall be grounded according to IEC 801 part 4. The master shall be mounted as described in the data sheet. Supplied mounting material shall be used. Measurements shall be carried out at a distance of 10cm from the metal plate for all designs.·10m AS-i line shall be mounted s-shaped at 10cm above the grounded metal plate; the remaining 10m shall be used to connect the AS-i slaves of the reference network protected by filters and the burst tester.· A test voltage of 1kV shall be set at the burst generator.·The tests shall be made with both burst polarities.·The test period shall be 2 min.5.6 EvaluationThe errors caused by the master to be tested shall be evaluated.To calculate the error rate caused by the system without the master, a test with insensitive reference master (symmetrical design) is performed.5.6.1 Calculation of the maximum error rateBased on the assumption that each AS-i message is disturbed during the burst period of 15 ms each we get a maximum percentage of disturbed messages of (see figure 1):15 ms / 300 ms = 5% = Nmax .5.6.2 Measurement of the actual error rate using a reference masterThe reference master is set up with the lowest possible stray capacitance to mass. It is assumed that no error in the network will occur during operation without burst.5.7 TestThe master shall be installed ready for operation (see data sheet) and – if applicable – connected to mass (ground).Under the influence of the burst pulses the number of exceeded timings of the data strobe pulses between slaves 1 and 2 is measured5.8 EvaluationThe limit value according to specification defines: "Max. every 30th message shall be distorted".This means that:Nmess £ Nmax ·1 30Nmess £16 %has to be met.Test criteria: The number of exceeded timings must not exceed 1 %. 65.9 Enhanced test5.9.1 Test voltage 2kVThe test master shall be installed ready for operation and – if applicable – connected to mass (ground). Refer to the installation notes in the data sheet or the instructions in the box.A test voltage of 2kV shall be set at the burst generator. The test period shall be 2 min.For this test one of the AS-i line shall be grounded at the power supply (protective earth). The functional earth of the power supply shall be removed.5.9.2 EvaluationAt a voltage of 2kV it has to be ensured that no errors occur, in particular:· no RESET,·no destruction of the master during the test.Test recordingsDate: Tested by: Test laboratory: Test report no.: Page: ofBurst test to IEC 801, part 4Test piece code: __________________________ Test piece type: ____________________________ Switching state: ___________________________ Burst generator type: _______________________ Coupling clamp type: ________________________ Mass reference surface: ______________________ Ambient temperature: _______________ Relative humidity: ________________ Air pressure: ________________Network configurationSlaves: __________________Power supply: ___________________ Test level: 3 (1kV)Burst duration: 15ms, burst period 300ms, spike frequency 5kHz Test duration (> 1min): ______________ Test condition: Nmess £ 1/6 % + Nref Test circuit: BURST_TTest results:Test at 1kV:Polarity Nref 1/6 % + Nref Nmess at a distance of 10 cmTest passed:positive yes / no negativeyes / noTest at 2kV:positive polarity negative polarity yes no yes no RESET destructionResult:Test passed: Yes / No Signature: _________________6. Test instruction: Analogue partReference Specification AS-i master (Chapter 7 of the Complete Specification),profiles,Master6.1 GeneralThis test instruction will assess the analogue part of the master.A manufacturer declaration is to guarantee a bit time of the master transmitter of 6µs ±0.1% .6.2 Measuring and test equipment· AS-i master·AS-i power supply· 2 pcs. 4O modules as slaves 1 and 2·AS-i monitor (e.g. SINEC S1 – PC card (CP 2413) with monitor program SCOPE S1, version 1.0), with a capacitive load on the AS-i line of C monitor≤ 0.4 nF·equivalent network (29 slaves, 300 Ohm||(3 nF-C monitor))·data decoupling with HF ground6.3 Test circuit1m (+/-0,1m)99m (+/- 1m)Laboratorypower supply39 OhmFigure 2: Data decoupling and HF groundThe AS-i line (99m) shall be mounted s-shaped (length: 2.50m, distance 0.1m). The data decoupling network shall be made up of a core EF 25 consisting of 2 parts, material N27(Siemens, order nos.: B 66 317-G-X127 and B 66 317-G-X127, see data sheet) with 1mm total air gap, equipped with a bifilar winding of 16.5 windings, wire diameter 0.8mm, wound parallel and the parallel resistor of 39R 1%. The equivalent circuit Zn (copy of an impedance of 29 slaves) is to consist of the parallel wiring of 10 pcs. 3.3kOhm 1% metal film resistors and a capacitance of 3nF 2% (The equivalent circuit Zn includes the impedance of the AS-i monitor, i.e. Zn = 330W || (3nF-C monitor) || monitor).6.4 Test procedureTest 1:1. Set up the test installation as shown in figure 1,2. Set slave 1 on address 21 and slave 2 on address 13. Slave 1 shall be polled by the master with data message ("0xA"), slave 2 with datamessage ("0x0")4. After the error rate has been measured via the monitor, the positions of slaves 1 and2 shall be changed and test shall be repeatedTest 2:1. The test installation shall be changed by removing the 99m AS-i line between slaves 1and 2 and the equivalent network Zn, i.e. slave 2, the AS-i monitor and slave 1 shall be connected at a distance of 1m from the master2. Set slave 1 on address 21 and slave 2 on address 13. Slave 1 shall be polled by the master with data message ("0xA"), slave 2 with datamessage ("0x0")4. The error rate shall be measured via monitor6.5 EvaluationThe monitor shall show an error rate of £ 0.5% for all tests.The error rate shall be defined as the number of master request /slave response combinations for slave 1 not correctly detected by the master, referred to a total number of master requests to slave 1.Test recordingsDate:by:TestedTest laboratory:Test report no.:ofPage:Analogue partTest piece code: ___________________AS-i master: ______________________Power supply: _________________________Test results:Test 1:correct? yes/no Error rate measurement 1: _____% £0.5%correct? yes/no Error rate measurement 2: _____% £0.5%Test 2:correct? yes/no Error rate measurement: _____% £0.5%Result:Test passed: Yes / No Signature: _________________7. Test instruction: Voltage cutoffReference: Specification AS-i master (chapter 7 of the Complete Specification),profiles,Master7.1 GeneralThe reaction of the master to voltage cutoff on the AS-i line of 1ms and a reduced voltage on the AS-i line from approx. 23.5V to 14.5V shall be tested.7.2 Measuring and test equipment· AS-i master·AS-i power supply·AS-i bus monitor· generator· oscilloscope7.3 Test circuitFigure 1 shows the basic principle of the test installation to check the reaction of the master to voltage cutoffs as well as the reduction of the DC voltage on the AS-i line. The connectedslave puts the master in the normal operation mode.7.4 Test procedure:1. Interrupt the voltage on the AS-i line for 0.6 ms with a repetition frequency of < 1Hzand check the AS-i messages by means of the bus monitor.2. Interrupt the voltage on the AS-i line for 2.1ms with a repetition frequency of <1Hz andcheck the AS-i messages by means of the bus monitor.3. Check the transmitting amplitude of the master at an AS-i-DC voltage of 23.5V4. Reduce the DC voltage on the AS-i line from 23.5V to 14.5V.Check AS-i message sequence "RESET_Slave" to all slaves by the master by means of a bus monitor and check their transmitting amplitude and subsequent offline operation of the master.7.5 Evaluation。